[{"_id":"50066","date_updated":"2024-01-23T20:35:02Z","conference":{"name":"IEEE International Conference on Computer Communications (INFOCOM)","start_date":"2024-05-20","location":"Vancouver, Canada","end_date":"2024-05-23"},"citation":{"chicago":"Dou, Feng, Lin Wang, Shutong Chen, and Fangming Liu. “X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics.” In Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). IEEE, n.d.","ama":"Dou F, Wang L, Chen S, Liu F. X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). IEEE.","apa":"Dou, F., Wang, L., Chen, S., & Liu, F. (n.d.). X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics. Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada.","bibtex":"@inproceedings{Dou_Wang_Chen_Liu, title={X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics}, booktitle={Proceedings of the IEEE International Conference on Computer Communications (INFOCOM)}, publisher={IEEE}, author={Dou, Feng and Wang, Lin and Chen, Shutong and Liu, Fangming} }","mla":"Dou, Feng, et al. “X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics.” Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), IEEE.","short":"F. Dou, L. Wang, S. Chen, F. Liu, in: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), IEEE, n.d.","ieee":"F. Dou, L. Wang, S. Chen, and F. Liu, “X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics,” presented at the IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada."},"year":"2024","type":"conference","language":[{"iso":"eng"}],"title":"X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics","user_id":"102868","publication_status":"accepted","status":"public","date_created":"2023-12-22T20:24:27Z","publisher":"IEEE","author":[{"first_name":"Feng","full_name":"Dou, Feng","last_name":"Dou"},{"first_name":"Lin","full_name":"Wang, Lin","last_name":"Wang","id":"102868"},{"last_name":"Chen","full_name":"Chen, Shutong","first_name":"Shutong"},{"last_name":"Liu","first_name":"Fangming","full_name":"Liu, Fangming"}],"publication":"Proceedings of the IEEE International Conference on Computer Communications (INFOCOM)","department":[{"_id":"34"},{"_id":"7"},{"_id":"75"}]},{"date_created":"2023-12-22T20:06:42Z","status":"public","publication_status":"accepted","department":[{"_id":"75"}],"publication":"Proceedings of the IEEE International Conference on Computer Communications (INFOCOM)","publisher":"IEEE","author":[{"last_name":"Blöcher","full_name":"Blöcher, Marcel","first_name":"Marcel"},{"full_name":"Nedderhut, Nils","first_name":"Nils","last_name":"Nedderhut"},{"last_name":"Chuprikov","full_name":"Chuprikov, Pavel","first_name":"Pavel"},{"last_name":"Khalili","full_name":"Khalili, Ramin","first_name":"Ramin"},{"first_name":"Patrick","full_name":"Eugster, Patrick","last_name":"Eugster"},{"id":"102868","last_name":"Wang","full_name":"Wang, Lin","first_name":"Lin"}],"user_id":"102868","title":"Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES","language":[{"iso":"eng"}],"citation":{"ama":"Blöcher M, Nedderhut N, Chuprikov P, Khalili R, Eugster P, Wang L. Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES. In: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). IEEE.","apa":"Blöcher, M., Nedderhut, N., Chuprikov, P., Khalili, R., Eugster, P., & Wang, L. (n.d.). Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES. Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada.","chicago":"Blöcher, Marcel, Nils Nedderhut, Pavel Chuprikov, Ramin Khalili, Patrick Eugster, and Lin Wang. “Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES.” In Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). IEEE, n.d.","bibtex":"@inproceedings{Blöcher_Nedderhut_Chuprikov_Khalili_Eugster_Wang, title={Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES}, booktitle={Proceedings of the IEEE International Conference on Computer Communications (INFOCOM)}, publisher={IEEE}, author={Blöcher, Marcel and Nedderhut, Nils and Chuprikov, Pavel and Khalili, Ramin and Eugster, Patrick and Wang, Lin} }","mla":"Blöcher, Marcel, et al. “Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES.” Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), IEEE.","short":"M. Blöcher, N. Nedderhut, P. Chuprikov, R. Khalili, P. Eugster, L. Wang, in: Proceedings of the IEEE International Conference on Computer Communications (INFOCOM), IEEE, n.d.","ieee":"M. Blöcher, N. Nedderhut, P. Chuprikov, R. Khalili, P. Eugster, and L. Wang, “Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES,” presented at the IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada."},"year":"2024","type":"conference","conference":{"end_date":"2024-05-23","start_date":"2024-05-20","name":"IEEE International Conference on Computer Communications (INFOCOM)","location":"Vancouver, Canada"},"_id":"50065","date_updated":"2024-01-23T20:35:09Z"},{"title":"𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing","user_id":"102868","status":"public","date_created":"2024-01-23T20:34:27Z","author":[{"first_name":"Haichuan","full_name":"Hu, Haichuan","last_name":"Hu"},{"first_name":"Fangming","full_name":"Liu, Fangming","last_name":"Liu"},{"first_name":"Qiangyu","full_name":"Pei, Qiangyu","last_name":"Pei"},{"first_name":"Yongjie","full_name":"Yuan, Yongjie","last_name":"Yuan"},{"full_name":"Xu, Zichen","first_name":"Zichen","last_name":"Xu"},{"id":"102868","last_name":"Wang","full_name":"Wang, Lin","first_name":"Lin"}],"publisher":"ACM","department":[{"_id":"34"},{"_id":"7"},{"_id":"75"}],"publication":"Proceedings of the ACM Web Conference (WWW)","date_updated":"2024-01-23T20:35:20Z","_id":"50807","conference":{"end_date":"2024-05-17","location":"Singapore","name":"ACM Web Conference (WWW)","start_date":"2024-05-13"},"type":"conference","year":"2024","citation":{"short":"H. Hu, F. Liu, Q. Pei, Y. Yuan, Z. Xu, L. Wang, in: Proceedings of the ACM Web Conference (WWW), ACM, 2024.","ieee":"H. Hu, F. Liu, Q. Pei, Y. Yuan, Z. Xu, and L. Wang, “𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing,” presented at the ACM Web Conference (WWW), Singapore, 2024.","chicago":"Hu, Haichuan, Fangming Liu, Qiangyu Pei, Yongjie Yuan, Zichen Xu, and Lin Wang. “𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing.” In Proceedings of the ACM Web Conference (WWW). ACM, 2024.","ama":"Hu H, Liu F, Pei Q, Yuan Y, Xu Z, Wang L. 𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing. In: Proceedings of the ACM Web Conference (WWW). ACM; 2024.","apa":"Hu, H., Liu, F., Pei, Q., Yuan, Y., Xu, Z., & Wang, L. (2024). 𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing. Proceedings of the ACM Web Conference (WWW). ACM Web Conference (WWW), Singapore.","mla":"Hu, Haichuan, et al. “𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing.” Proceedings of the ACM Web Conference (WWW), ACM, 2024.","bibtex":"@inproceedings{Hu_Liu_Pei_Yuan_Xu_Wang_2024, title={𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing}, booktitle={Proceedings of the ACM Web Conference (WWW)}, publisher={ACM}, author={Hu, Haichuan and Liu, Fangming and Pei, Qiangyu and Yuan, Yongjie and Xu, Zichen and Wang, Lin}, year={2024} }"},"language":[{"iso":"eng"}]},{"conference":{"location":"Athens, Greece","start_date":"2024-04-22","name":"The 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024","end_date":"2024-04-22"},"_id":"53095","date_updated":"2024-03-28T12:02:23Z","language":[{"iso":"eng"}],"citation":{"short":"K. Razavi, S. Ghafouri, M. Mühlhäuser, P. Jamshidi, L. Wang, in: Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with EuroSys 2024, ACM, 2024.","ieee":"K. Razavi, S. Ghafouri, M. Mühlhäuser, P. Jamshidi, and L. Wang, “Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling,” presented at the The 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024, Athens, Greece, 2024.","apa":"Razavi, K., Ghafouri, S., Mühlhäuser, M., Jamshidi, P., & Wang, L. (2024). Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with EuroSys 2024. The 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024, Athens, Greece.","ama":"Razavi K, Ghafouri S, Mühlhäuser M, Jamshidi P, Wang L. Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. In: Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with EuroSys 2024. ACM; 2024.","chicago":"Razavi, Kamran, Saeid Ghafouri, Max Mühlhäuser, Pooyan Jamshidi, and Lin Wang. “Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling.” In Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with EuroSys 2024. ACM, 2024.","bibtex":"@inproceedings{Razavi_Ghafouri_Mühlhäuser_Jamshidi_Wang_2024, title={Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling}, booktitle={Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024}, publisher={ACM}, author={Razavi, Kamran and Ghafouri, Saeid and Mühlhäuser, Max and Jamshidi, Pooyan and Wang, Lin}, year={2024} }","mla":"Razavi, Kamran, et al. “Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling.” Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with EuroSys 2024, ACM, 2024."},"year":"2024","type":"conference","user_id":"102868","title":"Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling","publication":"Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024","department":[{"_id":"34"},{"_id":"7"},{"_id":"75"}],"author":[{"last_name":"Razavi","full_name":"Razavi, Kamran","first_name":"Kamran"},{"last_name":"Ghafouri","first_name":"Saeid","full_name":"Ghafouri, Saeid"},{"full_name":"Mühlhäuser, Max","first_name":"Max","last_name":"Mühlhäuser"},{"first_name":"Pooyan","full_name":"Jamshidi, Pooyan","last_name":"Jamshidi"},{"full_name":"Wang, Lin","first_name":"Lin","id":"102868","last_name":"Wang"}],"publisher":"ACM","date_created":"2024-03-28T12:00:49Z","status":"public"},{"doi":"10.17619/UNIPB/1-1276 ","date_updated":"2022-02-18T08:17:36Z","_id":"29672","supervisor":[{"last_name":"Holger","full_name":"Holger, Karl","first_name":"Karl"}],"language":[{"iso":"eng"}],"type":"dissertation","year":"2022","citation":{"ieee":"S. B. Schneider, Network and Service Coordination: Conventional and Machine Learning Approaches\". 2022.","short":"S.B. Schneider, Network and Service Coordination: Conventional and Machine Learning Approaches\", 2022.","mla":"Schneider, Stefan Balthasar. Network and Service Coordination: Conventional and Machine Learning Approaches\". 2022, doi:10.17619/UNIPB/1-1276 .","bibtex":"@book{Schneider_2022, title={Network and Service Coordination: Conventional and Machine Learning Approaches\"}, DOI={10.17619/UNIPB/1-1276 }, author={Schneider, Stefan Balthasar}, year={2022} }","chicago":"Schneider, Stefan Balthasar. Network and Service Coordination: Conventional and Machine Learning Approaches\", 2022. https://doi.org/10.17619/UNIPB/1-1276 .","ama":"Schneider SB. Network and Service Coordination: Conventional and Machine Learning Approaches\".; 2022. doi:10.17619/UNIPB/1-1276 ","apa":"Schneider, S. B. (2022). Network and Service Coordination: Conventional and Machine Learning Approaches\". https://doi.org/10.17619/UNIPB/1-1276 "},"user_id":"15504","title":"Network and Service Coordination: Conventional and Machine Learning Approaches\"","status":"public","date_created":"2022-01-31T07:08:47Z","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"}],"author":[{"last_name":"Schneider","id":"35343","first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar"}],"department":[{"_id":"75"}]},{"language":[{"iso":"eng"}],"date_updated":"2022-03-10T18:28:19Z","oa":"1","department":[{"_id":"75"}],"project":[{"_id":"1","name":"SFB 901: SFB 901"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"name":"SFB 901 - C4: SFB 901 - Subproject C4","_id":"16"}],"title":"mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks","citation":{"ieee":"S. B. Schneider, S. Werner, R. Khalili, A. Hecker, and H. Karl, “mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks,” presented at the IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest, 2022.","short":"S.B. Schneider, S. Werner, R. Khalili, A. Hecker, H. Karl, in: IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.","bibtex":"@inproceedings{Schneider_Werner_Khalili_Hecker_Karl_2022, title={mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks}, booktitle={IEEE/IFIP Network Operations and Management Symposium (NOMS)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Werner, Stefan and Khalili, Ramin and Hecker, Artur and Karl, Holger}, year={2022} }","mla":"Schneider, Stefan Balthasar, et al. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.” IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.","chicago":"Schneider, Stefan Balthasar, Stefan Werner, Ramin Khalili, Artur Hecker, and Holger Karl. “Mobile-Env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks.” In IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE, 2022.","apa":"Schneider, S. B., Werner, S., Khalili, R., Hecker, A., & Karl, H. (2022). mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest.","ama":"Schneider SB, Werner S, Khalili R, Hecker A, Karl H. mobile-env: An Open Platform for Reinforcement Learning in Wireless Mobile Networks. In: IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE; 2022."},"year":"2022","type":"conference","_id":"30236","conference":{"end_date":"2022-04-29","location":"Budapest","start_date":"2022-04-25","name":"IEEE/IFIP Network Operations and Management Symposium (NOMS)"},"file":[{"relation":"main_file","date_updated":"2022-03-10T18:25:41Z","content_type":"application/pdf","file_id":"30237","creator":"stschn","file_size":223412,"access_level":"open_access","date_created":"2022-03-10T18:25:41Z","file_name":"author_version.pdf"}],"author":[{"first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","last_name":"Schneider","id":"35343"},{"last_name":"Werner","first_name":"Stefan","full_name":"Werner, Stefan"},{"first_name":"Ramin","full_name":"Khalili, Ramin","last_name":"Khalili"},{"full_name":"Hecker, Artur","first_name":"Artur","last_name":"Hecker"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"quality_controlled":"1","publisher":"IEEE","publication":"IEEE/IFIP Network Operations and Management Symposium (NOMS)","file_date_updated":"2022-03-10T18:25:41Z","keyword":["wireless mobile networks","network management","continuous control","cognitive networks","autonomous coordination","reinforcement learning","gym environment","simulation","open source"],"has_accepted_license":"1","status":"public","date_created":"2022-03-10T18:28:14Z","abstract":[{"text":"Recent reinforcement learning approaches for continuous control in wireless mobile networks have shown impressive\r\nresults. But due to the lack of open and compatible simulators, authors typically create their own simulation environments for training and evaluation. This is cumbersome and time-consuming for authors and limits reproducibility and comparability, ultimately impeding progress in the field.\r\n\r\nTo this end, we propose mobile-env, a simple and open platform for training, evaluating, and comparing reinforcement learning and conventional approaches for continuous control in mobile wireless networks. mobile-env is lightweight and implements the common OpenAI Gym interface and additional wrappers, which allows connecting virtually any single-agent or multi-agent reinforcement learning framework to the environment. While mobile-env provides sensible default values and can be used out of the box, it also has many configuration options and is easy to extend. We therefore believe mobile-env to be a valuable platform for driving meaningful progress in autonomous coordination of\r\nwireless mobile networks.","lang":"eng"}],"user_id":"35343","ddc":["004"]},{"type":"conference","year":"2022","citation":{"short":"A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 58th Allerton Conference on Communication, Control, and Computing, 2022.","ieee":"A. Redder, A. Ramaswamy, and H. Karl, “Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law,” presented at the 58th Allerton Conference on Communication, Control, and Computing, 2022.","apa":"Redder, A., Ramaswamy, A., & Karl, H. (2022). Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law. Proceedings of the 58th Allerton Conference on Communication, Control, and Computing. 58th Allerton Conference on Communication, Control, and Computing.","ama":"Redder A, Ramaswamy A, Karl H. Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law. In: Proceedings of the 58th Allerton Conference on Communication, Control, and Computing. ; 2022.","chicago":"Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law.” In Proceedings of the 58th Allerton Conference on Communication, Control, and Computing, 2022.","bibtex":"@inproceedings{Redder_Ramaswamy_Karl_2022, title={Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law}, booktitle={Proceedings of the 58th Allerton Conference on Communication, Control, and Computing}, author={Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022} }","mla":"Redder, Adrian, et al. “Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law.” Proceedings of the 58th Allerton Conference on Communication, Control, and Computing, 2022."},"language":[{"iso":"eng"}],"_id":"32811","date_updated":"2022-11-18T09:31:19Z","conference":{"name":"58th Allerton Conference on Communication, Control, and Computing"},"status":"public","has_accepted_license":"1","project":[{"name":"SFB 901 - C4: SFB 901 - Subproject C4","_id":"16"},{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"}],"date_created":"2022-08-15T09:59:17Z","author":[{"orcid":"https://orcid.org/0000-0001-7391-4688","full_name":"Redder, Adrian","first_name":"Adrian","id":"52265","last_name":"Redder"},{"full_name":"Ramaswamy, Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111","first_name":"Arunselvan","id":"66937","last_name":"Ramaswamy"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"}],"publication":"Proceedings of the 58th Allerton Conference on Communication, Control, and Computing","department":[{"_id":"75"}],"title":"Age of Information Process under Strongly Mixing Communication -- Moment Bound, Mixing Rate and Strong Law","ddc":["000"],"user_id":"477","abstract":[{"text":"The decentralized nature of multi-agent systems requires continuous data exchange to achieve global objectives. In such scenarios, Age of Information (AoI) has become an important metric of the freshness of exchanged data due to the error-proneness and delays of communication systems. Communication systems usually possess dependencies: the process describing the success or failure of communication is highly correlated when these attempts are ``close'' in some domain (e.g. in time, frequency, space or code as in wireless communication) and is, in general, non-stationary. To study AoI in such scenarios, we consider an abstract event-based AoI process $\\Delta(n)$, expressing time since the last update: If, at time $n$, a monitoring node receives a status update from a source node (event $A(n-1)$ occurs), then $\\Delta(n)$ is reset to one; otherwise, $\\Delta(n)$ grows linearly in time. This AoI process can thus be viewed as a special random walk with resets. The event process $A(n)$ may be nonstationary and we merely assume that its temporal dependencies decay sufficiently, described by $\\alpha$-mixing. We calculate moment bounds for the resulting AoI process as a function of the mixing rate of $A(n)$. Furthermore, we prove that the AoI process $\\Delta(n)$ is itself $\\alpha$-mixing from which we conclude a strong law of large numbers for $\\Delta(n)$. These results are new, since AoI processes have not been studied so far in this general strongly mixing setting. This opens up future work on renewal processes with non-independent interarrival times.","lang":"eng"}]},{"_id":"30793","citation":{"bibtex":"@inproceedings{Redder_Ramaswamy_Karl_2022, title={Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication}, DOI={10.5220/0010845400003116}, booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence}, publisher={SCITEPRESS - Science and Technology Publications}, author={Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022} }","mla":"Redder, Adrian, et al. “Multi-Agent Policy Gradient Algorithms for Cyber-Physical Systems with Lossy Communication.” Proceedings of the 14th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2022, doi:10.5220/0010845400003116.","chicago":"Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Multi-Agent Policy Gradient Algorithms for Cyber-Physical Systems with Lossy Communication.” In Proceedings of the 14th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications, 2022. https://doi.org/10.5220/0010845400003116.","ama":"Redder A, Ramaswamy A, Karl H. Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication. In: Proceedings of the 14th International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and Technology Publications; 2022. doi:10.5220/0010845400003116","apa":"Redder, A., Ramaswamy, A., & Karl, H. (2022). Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication. Proceedings of the 14th International Conference on Agents and Artificial Intelligence. https://doi.org/10.5220/0010845400003116","ieee":"A. Redder, A. Ramaswamy, and H. Karl, “Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication,” 2022, doi: 10.5220/0010845400003116.","short":"A. Redder, A. Ramaswamy, H. Karl, in: Proceedings of the 14th International Conference on Agents and Artificial Intelligence, SCITEPRESS - Science and Technology Publications, 2022."},"year":"2022","type":"conference","ddc":["006"],"user_id":"477","date_created":"2022-04-06T07:18:36Z","status":"public","has_accepted_license":"1","publication":"Proceedings of the 14th International Conference on Agents and Artificial Intelligence","file_date_updated":"2022-08-31T07:10:13Z","publisher":"SCITEPRESS - Science and Technology Publications","author":[{"orcid":"https://orcid.org/0000-0001-7391-4688","full_name":"Redder, Adrian","first_name":"Adrian","id":"52265","last_name":"Redder"},{"last_name":"Ramaswamy","id":"66937","first_name":"Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111","full_name":"Ramaswamy, Arunselvan"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"}],"file":[{"date_created":"2022-08-31T07:10:13Z","file_name":"ICCART2022.pdf","access_level":"closed","file_id":"33237","creator":"aredder","file_size":298926,"success":1,"relation":"main_file","date_updated":"2022-08-31T07:10:13Z","content_type":"application/pdf"}],"doi":"10.5220/0010845400003116","date_updated":"2022-11-18T09:32:14Z","language":[{"iso":"eng"}],"title":"Multi-agent Policy Gradient Algorithms for Cyber-physical Systems with Lossy Communication","publication_status":"published","project":[{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"},{"_id":"24","name":"NICCI-CN: Netzgewahre Regelung & regelungsgewahre Netze"},{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"}],"department":[{"_id":"75"}]},{"_id":"30790","date_updated":"2022-11-18T09:33:01Z","language":[{"iso":"eng"}],"citation":{"short":"A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.11343 (2022).","ieee":"A. Redder, A. Ramaswamy, and H. Karl, “Distributed gradient-based optimization in the presence of dependent aperiodic communication,” arXiv:2201.11343. 2022.","chicago":"Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Distributed Gradient-Based Optimization in the Presence of Dependent Aperiodic Communication.” ArXiv:2201.11343, 2022.","apa":"Redder, A., Ramaswamy, A., & Karl, H. (2022). Distributed gradient-based optimization in the presence of dependent aperiodic communication. In arXiv:2201.11343.","ama":"Redder A, Ramaswamy A, Karl H. Distributed gradient-based optimization in the presence of dependent aperiodic communication. arXiv:220111343. Published online 2022.","mla":"Redder, Adrian, et al. “Distributed Gradient-Based Optimization in the Presence of Dependent Aperiodic Communication.” ArXiv:2201.11343, 2022.","bibtex":"@article{Redder_Ramaswamy_Karl_2022, title={Distributed gradient-based optimization in the presence of dependent aperiodic communication}, journal={arXiv:2201.11343}, author={Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022} }"},"year":"2022","type":"preprint","user_id":"477","title":"Distributed gradient-based optimization in the presence of dependent aperiodic communication","external_id":{"arxiv":["2201.11343"]},"abstract":[{"text":"Iterative distributed optimization algorithms involve multiple agents that\r\ncommunicate with each other, over time, in order to minimize/maximize a global\r\nobjective. In the presence of unreliable communication networks, the\r\nAge-of-Information (AoI), which measures the freshness of data received, may be\r\nlarge and hence hinder algorithmic convergence. In this paper, we study the\r\nconvergence of general distributed gradient-based optimization algorithms in\r\nthe presence of communication that neither happens periodically nor at\r\nstochastically independent points in time. We show that convergence is\r\nguaranteed provided the random variables associated with the AoI processes are\r\nstochastically dominated by a random variable with finite first moment. This\r\nimproves on previous requirements of boundedness of more than the first moment.\r\nWe then introduce stochastically strongly connected (SSC) networks, a new\r\nstochastic form of strong connectedness for time-varying networks. We show: If\r\nfor any $p \\ge0$ the processes that describe the success of communication\r\nbetween agents in a SSC network are $\\alpha$-mixing with $n^{p-1}\\alpha(n)$\r\nsummable, then the associated AoI processes are stochastically dominated by a\r\nrandom variable with finite $p$-th moment. In combination with our first\r\ncontribution, this implies that distributed stochastic gradient descend\r\nconverges in the presence of AoI, if $\\alpha(n)$ is summable.","lang":"eng"}],"status":"public","project":[{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"},{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"}],"date_created":"2022-04-06T06:53:38Z","author":[{"last_name":"Redder","id":"52265","first_name":"Adrian","full_name":"Redder, Adrian","orcid":"https://orcid.org/0000-0001-7391-4688"},{"full_name":"Ramaswamy, Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111","first_name":"Arunselvan","id":"66937","last_name":"Ramaswamy"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"department":[{"_id":"75"}],"publication":"arXiv:2201.11343"},{"department":[{"_id":"75"}],"publication":"arXiv:2201.00570","author":[{"first_name":"Adrian","full_name":"Redder, Adrian","orcid":"https://orcid.org/0000-0001-7391-4688","last_name":"Redder","id":"52265"},{"last_name":"Ramaswamy","id":"66937","first_name":"Arunselvan","full_name":"Ramaswamy, Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"}],"project":[{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"},{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"}],"date_created":"2022-04-06T06:53:52Z","status":"public","abstract":[{"lang":"eng","text":"We present sufficient conditions that ensure convergence of the multi-agent\r\nDeep Deterministic Policy Gradient (DDPG) algorithm. It is an example of one of\r\nthe most popular paradigms of Deep Reinforcement Learning (DeepRL) for tackling\r\ncontinuous action spaces: the actor-critic paradigm. In the setting considered\r\nherein, each agent observes a part of the global state space in order to take\r\nlocal actions, for which it receives local rewards. For every agent, DDPG\r\ntrains a local actor (policy) and a local critic (Q-function). The analysis\r\nshows that multi-agent DDPG using neural networks to approximate the local\r\npolicies and critics converge to limits with the following properties: The\r\ncritic limits minimize the average squared Bellman loss; the actor limits\r\nparameterize a policy that maximizes the local critic's approximation of\r\n$Q_i^*$, where $i$ is the agent index. The averaging is with respect to a\r\nprobability distribution over the global state-action space. It captures the\r\nasymptotics of all local training processes. Finally, we extend the analysis to\r\na fully decentralized setting where agents communicate over a wireless network\r\nprone to delays and losses; a typical scenario in, e.g., robotic applications."}],"external_id":{"arxiv":["2201.00570"]},"title":"Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms","user_id":"477","year":"2022","type":"preprint","citation":{"short":"A. Redder, A. Ramaswamy, H. Karl, ArXiv:2201.00570 (2022).","ieee":"A. Redder, A. Ramaswamy, and H. Karl, “Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms,” arXiv:2201.00570. 2022.","apa":"Redder, A., Ramaswamy, A., & Karl, H. (2022). Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms. In arXiv:2201.00570.","ama":"Redder A, Ramaswamy A, Karl H. Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms. arXiv:220100570. Published online 2022.","chicago":"Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms.” ArXiv:2201.00570, 2022.","mla":"Redder, Adrian, et al. “Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms.” ArXiv:2201.00570, 2022.","bibtex":"@article{Redder_Ramaswamy_Karl_2022, title={Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms}, journal={arXiv:2201.00570}, author={Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022} }"},"language":[{"iso":"eng"}],"date_updated":"2022-11-18T09:33:42Z","_id":"30791"},{"page":"133–138","type":"journal_article","year":"2022","citation":{"short":"A. Redder, A. Ramaswamy, H. Karl, IFAC-PapersOnLine 55 (2022) 133–138.","ieee":"A. Redder, A. Ramaswamy, and H. Karl, “Practical Network Conditions for the Convergence of Distributed Optimization,” IFAC-PapersOnLine, vol. 55, no. 13, pp. 133–138, 2022.","ama":"Redder A, Ramaswamy A, Karl H. Practical Network Conditions for the Convergence of Distributed Optimization. IFAC-PapersOnLine. 2022;55(13):133–138.","apa":"Redder, A., Ramaswamy, A., & Karl, H. (2022). Practical Network Conditions for the Convergence of Distributed Optimization. IFAC-PapersOnLine, 55(13), 133–138.","chicago":"Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Practical Network Conditions for the Convergence of Distributed Optimization.” IFAC-PapersOnLine 55, no. 13 (2022): 133–138.","bibtex":"@article{Redder_Ramaswamy_Karl_2022, title={Practical Network Conditions for the Convergence of Distributed Optimization}, volume={55}, number={13}, journal={IFAC-PapersOnLine}, publisher={Elsevier}, author={Redder, Adrian and Ramaswamy, Arunselvan and Karl, Holger}, year={2022}, pages={133–138} }","mla":"Redder, Adrian, et al. “Practical Network Conditions for the Convergence of Distributed Optimization.” IFAC-PapersOnLine, vol. 55, no. 13, Elsevier, 2022, pp. 133–138."},"conference":{"name":"IFAC Conference on Networked Systems"},"_id":"32854","intvolume":" 55","issue":"13","file":[{"date_created":"2022-08-31T07:06:30Z","file_name":"NecSys2022____Practical_Conditions_for_Conv.pdf","access_level":"closed","file_size":298395,"file_id":"33236","creator":"aredder","date_updated":"2022-08-31T07:06:30Z","content_type":"application/pdf","relation":"main_file","success":1}],"file_date_updated":"2022-08-31T07:06:30Z","publication":"IFAC-PapersOnLine","author":[{"first_name":"Adrian","full_name":"Redder, Adrian","orcid":"https://orcid.org/0000-0001-7391-4688","last_name":"Redder","id":"52265"},{"id":"66937","last_name":"Ramaswamy","full_name":"Ramaswamy, Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111","first_name":"Arunselvan"},{"first_name":"Holger","full_name":"Karl, Holger","last_name":"Karl","id":"126"}],"publisher":"Elsevier","date_created":"2022-08-16T09:12:55Z","has_accepted_license":"1","status":"public","volume":55,"user_id":"477","ddc":["006"],"language":[{"iso":"eng"}],"date_updated":"2022-11-18T10:05:14Z","department":[{"_id":"75"}],"project":[{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"},{"_id":"1","name":"SFB 901: SFB 901"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"}],"title":"Practical Network Conditions for the Convergence of Distributed Optimization"},{"_id":"29220","conference":{"end_date":"2022-04-29","name":"IEEE/IFIP Network Operations and Management Symposium (NOMS)","start_date":"2022-04-25","location":"Budapest"},"citation":{"chicago":"Werner, Stefan, Stefan Balthasar Schneider, and Holger Karl. “Use What You Know: Network and Service Coordination Beyond Certainty.” In IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE, 2022.","ama":"Werner S, Schneider SB, Karl H. Use What You Know: Network and Service Coordination Beyond Certainty. In: IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE; 2022.","apa":"Werner, S., Schneider, S. B., & Karl, H. (2022). Use What You Know: Network and Service Coordination Beyond Certainty. IEEE/IFIP Network Operations and Management Symposium (NOMS). IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest.","mla":"Werner, Stefan, et al. “Use What You Know: Network and Service Coordination Beyond Certainty.” IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.","bibtex":"@inproceedings{Werner_Schneider_Karl_2022, title={Use What You Know: Network and Service Coordination Beyond Certainty}, booktitle={IEEE/IFIP Network Operations and Management Symposium (NOMS)}, publisher={IEEE}, author={Werner, Stefan and Schneider, Stefan Balthasar and Karl, Holger}, year={2022} }","short":"S. Werner, S.B. Schneider, H. Karl, in: IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.","ieee":"S. Werner, S. B. Schneider, and H. Karl, “Use What You Know: Network and Service Coordination Beyond Certainty,” presented at the IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest, 2022."},"type":"conference","year":"2022","abstract":[{"text":"Modern services often comprise several components, such as chained virtual network functions, microservices, or\r\nmachine learning functions. Providing such services requires to decide how often to instantiate each component, where to place these instances in the network, how to chain them and route traffic through them. \r\nTo overcome limitations of conventional, hardwired heuristics, deep reinforcement learning (DRL) approaches for self-learning network and service management have emerged recently. These model-free DRL approaches are more flexible but typically learn tabula rasa, i.e., disregard existing understanding of networks, services, and their coordination. \r\n\r\nInstead, we propose FutureCoord, a novel model-based AI approach that leverages existing understanding of networks and services for more efficient and effective coordination without time-intensive training. FutureCoord combines Monte Carlo Tree Search with a stochastic traffic model. This allows FutureCoord to estimate the impact of future incoming traffic and effectively optimize long-term effects, taking fluctuating demand and Quality of Service (QoS) requirements into account. Our extensive evaluation based on real-world network topologies, services, and traffic traces indicates that FutureCoord clearly outperforms state-of-the-art model-free and model-based approaches with up to 51% higher flow success ratios.","lang":"eng"}],"ddc":["004"],"user_id":"35343","quality_controlled":"1","author":[{"full_name":"Werner, Stefan","first_name":"Stefan","last_name":"Werner"},{"last_name":"Schneider","id":"35343","first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"publisher":"IEEE","publication":"IEEE/IFIP Network Operations and Management Symposium (NOMS)","keyword":["network management","service management","AI","Monte Carlo Tree Search","model-based","QoS"],"file_date_updated":"2022-01-11T08:39:57Z","file":[{"file_size":528653,"file_id":"29222","creator":"stschn","content_type":"application/pdf","date_updated":"2022-01-11T08:39:57Z","relation":"main_file","date_created":"2022-01-11T08:39:57Z","file_name":"author_version.pdf","access_level":"open_access"}],"status":"public","has_accepted_license":"1","date_created":"2022-01-11T08:43:26Z","date_updated":"2022-01-11T08:44:04Z","oa":"1","language":[{"iso":"eng"}],"title":"Use What You Know: Network and Service Coordination Beyond Certainty","department":[{"_id":"75"}],"project":[{"_id":"1","name":"SFB 901: SFB 901"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"name":"SFB 901 - C4: SFB 901 - Subproject C4","_id":"16"}]},{"user_id":"63288","ddc":["000"],"abstract":[{"lang":"eng","text":"Datacenter applications have different resource requirements from network and developing flow scheduling heuristics for every workload is practically infeasible. In this paper, we show that deep reinforcement learning (RL) can be used to efficiently learn flow scheduling policies for different workloads without manual feature engineering. Specifically, we present LFS, which learns to optimize a high-level performance objective, e.g., maximize the number of flow admissions while meeting the deadlines. The LFS scheduler is trained through deep RL to learn a scheduling policy on continuous online flow arrivals. The evaluation results show that the trained LFS scheduler admits 1.05x more flows than the greedy flow scheduling heuristics under varying network load."}],"date_created":"2020-10-19T14:27:17Z","status":"public","keyword":["Flow scheduling","Deadlines","Reinforcement learning"],"publication":"2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)","author":[{"last_name":"Hasnain","id":"63288","first_name":"Asif","full_name":"Hasnain, Asif"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"publisher":"IEEE Computer Society","conference":{"name":"2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)","start_date":"2021-01-09","location":"Las Vegas, USA","end_date":"2021-01-12"},"_id":"20125","citation":{"apa":"Hasnain, A., & Karl, H. (n.d.). Learning Flow Scheduling. In 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC). Las Vegas, USA: IEEE Computer Society. https://doi.org/10.1109/CCNC49032.2021.9369514","ama":"Hasnain A, Karl H. Learning Flow Scheduling. In: 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC). IEEE Computer Society. doi:https://doi.org/10.1109/CCNC49032.2021.9369514","chicago":"Hasnain, Asif, and Holger Karl. “Learning Flow Scheduling.” In 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC). IEEE Computer Society, n.d. https://doi.org/10.1109/CCNC49032.2021.9369514.","bibtex":"@inproceedings{Hasnain_Karl, title={Learning Flow Scheduling}, DOI={https://doi.org/10.1109/CCNC49032.2021.9369514}, booktitle={2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC)}, publisher={IEEE Computer Society}, author={Hasnain, Asif and Karl, Holger} }","mla":"Hasnain, Asif, and Holger Karl. “Learning Flow Scheduling.” 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), IEEE Computer Society, doi:https://doi.org/10.1109/CCNC49032.2021.9369514.","short":"A. Hasnain, H. Karl, in: 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), IEEE Computer Society, n.d.","ieee":"A. Hasnain and H. Karl, “Learning Flow Scheduling,” in 2021 IEEE 18th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, USA."},"year":"2021","type":"conference","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9369514"}],"title":"Learning Flow Scheduling","project":[{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"16","name":"SFB 901 - Subproject C4"},{"name":"SFB 901","_id":"1"}],"publication_status":"accepted","department":[{"_id":"75"}],"doi":"https://doi.org/10.1109/CCNC49032.2021.9369514","date_updated":"2022-01-06T06:54:20Z","language":[{"iso":"eng"}]},{"author":[{"first_name":"Asif","full_name":"Hasnain, Asif","last_name":"Hasnain"}],"department":[{"_id":"75"}],"status":"public","project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"date_created":"2021-11-16T13:05:12Z","title":"Automating Network Resource Allocation for Coflows with Deadlines","user_id":"15504","citation":{"mla":"Hasnain, Asif. Automating Network Resource Allocation for Coflows with Deadlines. 2021, doi:10.17619/UNIPB/1-1241 .","bibtex":"@book{Hasnain_2021, title={Automating Network Resource Allocation for Coflows with Deadlines}, DOI={10.17619/UNIPB/1-1241 }, author={Hasnain, Asif}, year={2021} }","ama":"Hasnain A. Automating Network Resource Allocation for Coflows with Deadlines.; 2021. doi:10.17619/UNIPB/1-1241 ","apa":"Hasnain, A. (2021). Automating Network Resource Allocation for Coflows with Deadlines. https://doi.org/10.17619/UNIPB/1-1241 ","chicago":"Hasnain, Asif. Automating Network Resource Allocation for Coflows with Deadlines, 2021. https://doi.org/10.17619/UNIPB/1-1241 .","ieee":"A. Hasnain, Automating Network Resource Allocation for Coflows with Deadlines. 2021.","short":"A. Hasnain, Automating Network Resource Allocation for Coflows with Deadlines, 2021."},"year":"2021","type":"dissertation","supervisor":[{"full_name":"Karl, Holger","first_name":"Holger","last_name":"Karl"}],"language":[{"iso":"eng"}],"_id":"27503","date_updated":"2022-01-06T06:57:40Z","doi":"10.17619/UNIPB/1-1241 "},{"date_created":"2021-01-16T18:24:19Z","status":"public","publication":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","keyword":["Coflow scheduling","Reinforcement learning","Deadlines"],"author":[{"id":"63288","last_name":"Hasnain","full_name":"Hasnain, Asif","first_name":"Asif"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"publisher":"IEEE Communications Society","ddc":["000"],"user_id":"63288","abstract":[{"text":"Data-parallel applications are developed using different data programming models, e.g., MapReduce, partition/aggregate. These models represent diverse resource requirements of application in a datacenter network, which can be represented by the coflow abstraction. The conventional method of creating hand-crafted coflow heuristics for admission or scheduling for different workloads is practically infeasible. In this paper, we propose a deep reinforcement learning (DRL)-based coflow admission scheme -- LCS -- that can learn an admission policy for a higher-level performance objective, i.e., maximize successful coflow admissions, without manual feature engineering. LCS is trained on a production trace, which has online coflow arrivals. The evaluation results show that LCS is able to learn a reasonable admission policy that admits more coflows than state-of-the-art Varys heuristic while meeting their deadlines.","lang":"eng"}],"year":"2021","type":"conference","citation":{"short":"A. Hasnain, H. Karl, in: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), IEEE Communications Society, n.d.","ieee":"A. Hasnain and H. Karl, “Learning Coflow Admissions,” in IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Vancouver BC Canada.","ama":"Hasnain A, Karl H. Learning Coflow Admissions. In: IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE Communications Society. doi:10.1109/INFOCOMWKSHPS51825.2021.9484599","apa":"Hasnain, A., & Karl, H. (n.d.). Learning Coflow Admissions. In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). Vancouver BC Canada: IEEE Communications Society. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599","chicago":"Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.” In IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE Communications Society, n.d. https://doi.org/10.1109/INFOCOMWKSHPS51825.2021.9484599.","mla":"Hasnain, Asif, and Holger Karl. “Learning Coflow Admissions.” IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), IEEE Communications Society, doi:10.1109/INFOCOMWKSHPS51825.2021.9484599.","bibtex":"@inproceedings{Hasnain_Karl, title={Learning Coflow Admissions}, DOI={10.1109/INFOCOMWKSHPS51825.2021.9484599}, booktitle={IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)}, publisher={IEEE Communications Society}, author={Hasnain, Asif and Karl, Holger} }"},"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/9484599"}],"conference":{"name":"IEEE INFOCOM 2021 - IEEE Conference on Computer Communications","start_date":"2021-05-10","location":"Vancouver BC Canada","end_date":"2021-05-13"},"_id":"21005","publication_status":"accepted","project":[{"name":"SFB 901 - Subproject C4","_id":"16"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901","_id":"1"}],"department":[{"_id":"75"}],"title":"Learning Coflow Admissions","related_material":{"link":[{"url":"https://ieeexplore.ieee.org/document/9484599","relation":"confirmation"}]},"language":[{"iso":"eng"}],"doi":"10.1109/INFOCOMWKSHPS51825.2021.9484599","date_updated":"2022-01-06T06:54:42Z"},{"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"department":[{"_id":"75"}],"title":"Distributed Online Service Coordination Using Deep Reinforcement Learning","related_material":{"link":[{"relation":"software","url":"https://github.com/ RealVNF/distributed-drl-coordination"}]},"language":[{"iso":"eng"}],"oa":"1","date_updated":"2022-01-06T06:55:04Z","date_created":"2021-03-18T17:15:47Z","has_accepted_license":"1","status":"public","file_date_updated":"2021-03-18T17:12:56Z","keyword":["network management","service management","coordination","reinforcement learning","distributed"],"publication":"IEEE International Conference on Distributed Computing Systems (ICDCS)","author":[{"first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011","last_name":"Schneider","id":"35343"},{"last_name":"Qarawlus","first_name":"Haydar","full_name":"Qarawlus, Haydar"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"publisher":"IEEE","file":[{"file_name":"public_author_version.pdf","date_created":"2021-03-18T17:12:56Z","access_level":"open_access","title":"Distributed Online Service Coordination Using Deep Reinforcement Learning","file_id":"21544","creator":"stschn","file_size":606321,"relation":"main_file","date_updated":"2021-03-18T17:12:56Z","content_type":"application/pdf"}],"ddc":["000"],"user_id":"35343","abstract":[{"text":"Services often consist of multiple chained components such as microservices in a service mesh, or machine learning functions in a pipeline. Providing these services requires online coordination including scaling the service, placing instance of all components in the network, scheduling traffic to these instances, and routing traffic through the network. Optimized service coordination is still a hard problem due to many influencing factors such as rapidly arriving user demands and limited node and link capacity. Existing approaches to solve the problem are often built on rigid models and assumptions, tailored to specific scenarios. If the scenario changes and the assumptions no longer hold, they easily break and require manual adjustments by experts. Novel self-learning approaches using deep reinforcement learning (DRL) are promising but still have limitations as they only address simplified versions of the problem and are typically centralized and thus do not scale to practical large-scale networks.\r\n\r\nTo address these issues, we propose a distributed self-learning service coordination approach using DRL. After centralized training, we deploy a distributed DRL agent at each node in the network, making fast coordination decisions locally in parallel with the other nodes. Each agent only observes its direct neighbors and does not need global knowledge. Hence, our approach scales independently from the size of the network. In our extensive evaluation using real-world network topologies and traffic traces, we show that our proposed approach outperforms a state-of-the-art conventional heuristic as well as a centralized DRL approach (60% higher throughput on average) while requiring less time per online decision (1 ms).","lang":"eng"}],"year":"2021","citation":{"short":"S.B. Schneider, H. Qarawlus, H. Karl, in: IEEE International Conference on Distributed Computing Systems (ICDCS), IEEE, 2021.","ieee":"S. B. Schneider, H. Qarawlus, and H. Karl, “Distributed Online Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Distributed Computing Systems (ICDCS), Washington, DC, USA, 2021.","ama":"Schneider SB, Qarawlus H, Karl H. Distributed Online Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Distributed Computing Systems (ICDCS). IEEE; 2021.","apa":"Schneider, S. B., Qarawlus, H., & Karl, H. (2021). Distributed Online Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Distributed Computing Systems (ICDCS). Washington, DC, USA: IEEE.","chicago":"Schneider, Stefan Balthasar, Haydar Qarawlus, and Holger Karl. “Distributed Online Service Coordination Using Deep Reinforcement Learning.” In IEEE International Conference on Distributed Computing Systems (ICDCS). IEEE, 2021.","bibtex":"@inproceedings{Schneider_Qarawlus_Karl_2021, title={Distributed Online Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International Conference on Distributed Computing Systems (ICDCS)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Qarawlus, Haydar and Karl, Holger}, year={2021} }","mla":"Schneider, Stefan Balthasar, et al. “Distributed Online Service Coordination Using Deep Reinforcement Learning.” IEEE International Conference on Distributed Computing Systems (ICDCS), IEEE, 2021."},"type":"conference","conference":{"name":"IEEE International Conference on Distributed Computing Systems (ICDCS)","location":"Washington, DC, USA"},"_id":"21543"},{"file":[{"access_level":"open_access","date_created":"2020-12-11T08:37:37Z","file_name":"preprint_with_header.pdf","date_updated":"2020-12-11T08:37:37Z","content_type":"application/pdf","relation":"main_file","file_size":7979772,"title":"Divide and Conquer: Hierarchical Network and Service Coordination","file_id":"20694","creator":"stschn"}],"publication":"IFIP/IEEE International Symposium on Integrated Network Management (IM)","file_date_updated":"2020-12-11T08:37:37Z","keyword":["network management","service management","coordination","hierarchical","scalability","nfv"],"publisher":"IFIP/IEEE","quality_controlled":"1","author":[{"first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","last_name":"Schneider","id":"35343"},{"last_name":"Jürgens","first_name":"Mirko","full_name":"Jürgens, Mirko"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"}],"date_created":"2020-12-11T08:39:47Z","has_accepted_license":"1","status":"public","abstract":[{"lang":"eng","text":"In practical, large-scale networks, services are requested\r\nby users across the globe, e.g., for video streaming.\r\nServices consist of multiple interconnected components such as\r\nmicroservices in a service mesh. Coordinating these services\r\nrequires scaling them according to continuously changing user\r\ndemand, deploying instances at the edge close to their users,\r\nand routing traffic efficiently between users and connected instances.\r\nNetwork and service coordination is commonly addressed\r\nthrough centralized approaches, where a single coordinator\r\nknows everything and coordinates the entire network globally.\r\nWhile such centralized approaches can reach global optima, they\r\ndo not scale to large, realistic networks. In contrast, distributed\r\napproaches scale well, but sacrifice solution quality due to their\r\nlimited scope of knowledge and coordination decisions.\r\n\r\nTo this end, we propose a hierarchical coordination approach\r\nthat combines the good solution quality of centralized approaches\r\nwith the scalability of distributed approaches. In doing so, we divide\r\nthe network into multiple hierarchical domains and optimize\r\ncoordination in a top-down manner. We compare our hierarchical\r\nwith a centralized approach in an extensive evaluation on a real-world\r\nnetwork topology. Our results indicate that hierarchical\r\ncoordination can find close-to-optimal solutions in a fraction of\r\nthe runtime of centralized approaches."}],"user_id":"35343","ddc":["006"],"year":"2021","citation":{"short":"S.B. Schneider, M. Jürgens, H. Karl, in: IFIP/IEEE International Symposium on Integrated Network Management (IM), IFIP/IEEE, 2021.","ieee":"S. B. Schneider, M. Jürgens, and H. Karl, “Divide and Conquer: Hierarchical Network and Service Coordination,” in IFIP/IEEE International Symposium on Integrated Network Management (IM), Bordeaux, France, 2021.","chicago":"Schneider, Stefan Balthasar, Mirko Jürgens, and Holger Karl. “Divide and Conquer: Hierarchical Network and Service Coordination.” In IFIP/IEEE International Symposium on Integrated Network Management (IM). IFIP/IEEE, 2021.","ama":"Schneider SB, Jürgens M, Karl H. Divide and Conquer: Hierarchical Network and Service Coordination. In: IFIP/IEEE International Symposium on Integrated Network Management (IM). IFIP/IEEE; 2021.","apa":"Schneider, S. B., Jürgens, M., & Karl, H. (2021). Divide and Conquer: Hierarchical Network and Service Coordination. In IFIP/IEEE International Symposium on Integrated Network Management (IM). Bordeaux, France: IFIP/IEEE.","bibtex":"@inproceedings{Schneider_Jürgens_Karl_2021, title={Divide and Conquer: Hierarchical Network and Service Coordination}, booktitle={IFIP/IEEE International Symposium on Integrated Network Management (IM)}, publisher={IFIP/IEEE}, author={Schneider, Stefan Balthasar and Jürgens, Mirko and Karl, Holger}, year={2021} }","mla":"Schneider, Stefan Balthasar, et al. “Divide and Conquer: Hierarchical Network and Service Coordination.” IFIP/IEEE International Symposium on Integrated Network Management (IM), IFIP/IEEE, 2021."},"type":"conference","conference":{"name":"IFIP/IEEE International Symposium on Integrated Network Management (IM)","location":"Bordeaux, France"},"_id":"20693","department":[{"_id":"75"}],"project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"title":"Divide and Conquer: Hierarchical Network and Service Coordination","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:54:32Z","oa":"1"},{"type":"journal_article","citation":{"mla":"Schneider, Stefan Balthasar, et al. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” Transactions on Network and Service Management, IEEE, 2021, doi:10.1109/TNSM.2021.3076503.","bibtex":"@article{Schneider_Khalili_Manzoor_Qarawlus_Schellenberg_Karl_Hecker_2021, title={Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning}, DOI={10.1109/TNSM.2021.3076503}, journal={Transactions on Network and Service Management}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Khalili, Ramin and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Hecker, Artur}, year={2021} }","chicago":"Schneider, Stefan Balthasar, Ramin Khalili, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, and Artur Hecker. “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning.” Transactions on Network and Service Management, 2021. https://doi.org/10.1109/TNSM.2021.3076503.","apa":"Schneider, S. B., Khalili, R., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., & Hecker, A. (2021). Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. https://doi.org/10.1109/TNSM.2021.3076503","ama":"Schneider SB, Khalili R, Manzoor A, et al. Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning. Transactions on Network and Service Management. 2021. doi:10.1109/TNSM.2021.3076503","ieee":"S. B. Schneider et al., “Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning,” Transactions on Network and Service Management, 2021.","short":"S.B. Schneider, R. Khalili, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, A. Hecker, Transactions on Network and Service Management (2021)."},"year":"2021","_id":"21808","publisher":"IEEE","author":[{"last_name":"Schneider","id":"35343","first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar"},{"last_name":"Khalili","first_name":"Ramin","full_name":"Khalili, Ramin"},{"last_name":"Manzoor","first_name":"Adnan","full_name":"Manzoor, Adnan"},{"full_name":"Qarawlus, Haydar","first_name":"Haydar","last_name":"Qarawlus"},{"full_name":"Schellenberg, Rafael","first_name":"Rafael","last_name":"Schellenberg"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"},{"last_name":"Hecker","first_name":"Artur","full_name":"Hecker, Artur"}],"file_date_updated":"2021-04-27T08:01:26Z","publication":"Transactions on Network and Service Management","keyword":["network management","service management","coordination","reinforcement learning","self-learning","self-adaptation","multi-objective"],"file":[{"file_id":"21809","creator":"stschn","file_size":4172270,"description":"Author version of the accepted paper","relation":"main_file","date_updated":"2021-04-27T08:01:26Z","content_type":"application/pdf","date_created":"2021-04-27T08:01:26Z","file_name":"ris-accepted-version.pdf","access_level":"open_access"}],"has_accepted_license":"1","status":"public","date_created":"2021-04-27T08:04:16Z","article_type":"original","abstract":[{"text":"Modern services consist of interconnected components,e.g., microservices in a service mesh or machine learning functions in a pipeline. These services can scale and run across multiple network nodes on demand. To process incoming traffic, service components have to be instantiated and traffic assigned to these instances, taking capacities, changing demands, and Quality of Service (QoS) requirements into account. This challenge is usually solved with custom approaches designed by experts. While this typically works well for the considered scenario, the models often rely on unrealistic assumptions or on knowledge that is not available in practice (e.g., a priori knowledge).\r\n\r\nWe propose DeepCoord, a novel deep reinforcement learning approach that learns how to best coordinate services and is geared towards realistic assumptions. It interacts with the network and relies on available, possibly delayed monitoring information. Rather than defining a complex model or an algorithm on how to achieve an objective, our model-free approach adapts to various objectives and traffic patterns. An agent is trained offline without expert knowledge and then applied online with minimal overhead. Compared to a state-of-the-art heuristic, DeepCoord significantly improves flow throughput (up to 76%) and overall network utility (more than 2x) on realworld network topologies and traffic traces. It also supports optimizing multiple, possibly competing objectives, learns to respect QoS requirements, generalizes to scenarios with unseen, stochastic traffic, and scales to large real-world networks. For reproducibility and reuse, our code is publicly available.","lang":"eng"}],"ddc":["000"],"user_id":"35343","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:55:15Z","doi":"10.1109/TNSM.2021.3076503","oa":"1","department":[{"_id":"75"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"title":"Self-Learning Multi-Objective Service Coordination Using Deep Reinforcement Learning"},{"year":"2021","citation":{"chicago":"Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.","apa":"Schneider, S. B., Karl, H., Khalili, R., & Hecker, A. (2021). DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.","ama":"Schneider SB, Karl H, Khalili R, Hecker A. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning.; 2021.","mla":"Schneider, Stefan Balthasar, et al. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021.","bibtex":"@book{Schneider_Karl_Khalili_Hecker_2021, title={DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning}, author={Schneider, Stefan Balthasar and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2021} }","short":"S.B. Schneider, H. Karl, R. Khalili, A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning, 2021.","ieee":"S. B. Schneider, H. Karl, R. Khalili, and A. Hecker, DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021."},"type":"working_paper","language":[{"iso":"eng"}],"date_updated":"2022-11-18T09:59:27Z","_id":"33854","oa":"1","author":[{"id":"35343","last_name":"Schneider","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011","first_name":"Stefan Balthasar"},{"first_name":"Holger","full_name":"Karl, Holger","last_name":"Karl","id":"126"},{"last_name":"Khalili","first_name":"Ramin","full_name":"Khalili, Ramin"},{"full_name":"Hecker, Artur","first_name":"Artur","last_name":"Hecker"}],"keyword":["mobility management","coordinated multipoint","CoMP","cell selection","resource management","reinforcement learning","multi agent","MARL","self-learning","self-adaptation","QoE"],"department":[{"_id":"75"}],"file_date_updated":"2022-10-20T16:41:10Z","file":[{"file_name":"preprint.pdf","date_created":"2022-10-20T16:41:10Z","access_level":"open_access","file_id":"33855","creator":"stschn","file_size":2521656,"relation":"main_file","date_updated":"2022-10-20T16:41:10Z","content_type":"application/pdf"}],"status":"public","has_accepted_license":"1","project":[{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"},{"name":"SFB 901: SFB 901","_id":"1"}],"date_created":"2022-10-20T16:44:19Z","abstract":[{"text":"Macrodiversity is a key technique to increase the capacity of mobile networks. It can be realized using coordinated multipoint (CoMP), simultaneously connecting users to multiple overlapping cells. Selecting which users to serve by how many and which cells is NP-hard but needs to happen continuously in real time as users move and channel state changes. Existing approaches often require strict assumptions about or perfect knowledge of the underlying radio system, its resource allocation scheme, or user movements, none of which is readily available in practice.\r\n\r\nInstead, we propose three novel self-learning and self-adapting approaches using model-free deep reinforcement learning (DRL): DeepCoMP, DD-CoMP, and D3-CoMP. DeepCoMP leverages central observations and control of all users to select cells almost optimally. DD-CoMP and D3-CoMP use multi-agent DRL, which allows distributed, robust, and highly scalable coordination. All three approaches learn from experience and self-adapt to varying scenarios, reaching 2x higher Quality of Experience than other approaches. They have very few built-in assumptions and do not need prior system knowledge, making them more robust to change and better applicable in practice than existing approaches.","lang":"eng"}],"ddc":["004"],"title":"DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning","user_id":"477"},{"language":[{"iso":"eng"}],"citation":{"bibtex":"@book{Schneider_2021, title={Conventional and Machine Learning Approaches for Network and Service Coordination}, author={Schneider, Stefan Balthasar}, year={2021} }","mla":"Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination. 2021.","apa":"Schneider, S. B. (2021). Conventional and Machine Learning Approaches for Network and Service Coordination.","ama":"Schneider SB. Conventional and Machine Learning Approaches for Network and Service Coordination.; 2021.","chicago":"Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination, 2021.","ieee":"S. B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination. 2021.","short":"S.B. Schneider, Conventional and Machine Learning Approaches for Network and Service Coordination, 2021."},"year":"2021","type":"working_paper","oa":"1","date_updated":"2023-01-10T15:09:05Z","_id":"35889","date_created":"2023-01-10T15:08:50Z","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"},{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"}],"status":"public","has_accepted_license":"1","file":[{"date_created":"2023-01-10T15:07:03Z","file_name":"main.pdf","access_level":"open_access","file_size":133340,"creator":"stschn","file_id":"35890","date_updated":"2023-01-10T15:07:03Z","content_type":"application/pdf","relation":"main_file"}],"file_date_updated":"2023-01-10T15:07:03Z","department":[{"_id":"75"}],"keyword":["nfv","coordination","machine learning","reinforcement learning","phd","digest"],"author":[{"first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011","last_name":"Schneider","id":"35343"}],"user_id":"35343","ddc":["004"],"title":"Conventional and Machine Learning Approaches for Network and Service Coordination","abstract":[{"lang":"eng","text":"Network and service coordination is important to provide modern services consisting of multiple interconnected components, e.g., in 5G, network function virtualization (NFV), or cloud and edge computing. In this paper, I outline my dissertation research, which proposes six approaches to automate such network and service coordination. All approaches dynamically react to the current demand and optimize coordination for high service quality and low costs. The approaches range from centralized to distributed methods and from conventional heuristic algorithms and mixed-integer linear programs to machine learning approaches using supervised and reinforcement learning. I briefly discuss their main ideas and advantages over other state-of-the-art approaches and compare strengths and weaknesses."}]},{"oa":"1","date_updated":"2022-01-06T06:54:08Z","language":[{"iso":"eng"}],"title":"Every Node for Itself: Fully Distributed Service Coordination","project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"department":[{"_id":"75"}],"_id":"19607","citation":{"short":"S.B. Schneider, L.D. Klenner, H. Karl, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.","ieee":"S. B. Schneider, L. D. Klenner, and H. Karl, “Every Node for Itself: Fully Distributed Service Coordination,” in IEEE International Conference on Network and Service Management (CNSM), 2020.","chicago":"Schneider, Stefan Balthasar, Lars Dietrich Klenner, and Holger Karl. “Every Node for Itself: Fully Distributed Service Coordination.” In IEEE International Conference on Network and Service Management (CNSM). IEEE, 2020.","apa":"Schneider, S. B., Klenner, L. D., & Karl, H. (2020). Every Node for Itself: Fully Distributed Service Coordination. In IEEE International Conference on Network and Service Management (CNSM). IEEE.","ama":"Schneider SB, Klenner LD, Karl H. Every Node for Itself: Fully Distributed Service Coordination. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.","bibtex":"@inproceedings{Schneider_Klenner_Karl_2020, title={Every Node for Itself: Fully Distributed Service Coordination}, booktitle={IEEE International Conference on Network and Service Management (CNSM)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Klenner, Lars Dietrich and Karl, Holger}, year={2020} }","mla":"Schneider, Stefan Balthasar, et al. “Every Node for Itself: Fully Distributed Service Coordination.” IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020."},"type":"conference","year":"2020","user_id":"35343","ddc":["006"],"abstract":[{"lang":"eng","text":"Modern services consist of modular, interconnected\r\ncomponents, e.g., microservices forming a service mesh. To\r\ndynamically adjust to ever-changing service demands, service\r\ncomponents have to be instantiated on nodes across the network.\r\nIncoming flows requesting a service then need to be routed\r\nthrough the deployed instances while considering node and link\r\ncapacities. Ultimately, the goal is to maximize the successfully\r\nserved flows and Quality of Service (QoS) through online service\r\ncoordination. Current approaches for service coordination are\r\nusually centralized, assuming up-to-date global knowledge and\r\nmaking global decisions for all nodes in the network. Such global\r\nknowledge and centralized decisions are not realistic in practical\r\nlarge-scale networks.\r\n\r\nTo solve this problem, we propose two algorithms for fully\r\ndistributed service coordination. The proposed algorithms can be\r\nexecuted individually at each node in parallel and require only\r\nvery limited global knowledge. We compare and evaluate both\r\nalgorithms with a state-of-the-art centralized approach in extensive\r\nsimulations on a large-scale, real-world network topology.\r\nOur results indicate that the two algorithms can compete with\r\ncentralized approaches in terms of solution quality but require\r\nless global knowledge and are magnitudes faster (more than\r\n100x)."}],"status":"public","has_accepted_license":"1","date_created":"2020-09-22T06:23:40Z","file":[{"file_id":"19608","creator":"stschn","file_size":500948,"relation":"main_file","date_updated":"2020-09-22T06:36:25Z","content_type":"application/pdf","date_created":"2020-09-22T06:25:57Z","file_name":"ris_with_copyright.pdf","access_level":"open_access"}],"publisher":"IEEE","author":[{"orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","first_name":"Stefan Balthasar","id":"35343","last_name":"Schneider"},{"full_name":"Klenner, Lars Dietrich","first_name":"Lars Dietrich","last_name":"Klenner"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"keyword":["distributed management","service coordination","network coordination","nfv","softwarization","orchestration"],"file_date_updated":"2020-09-22T06:36:25Z","publication":"IEEE International Conference on Network and Service Management (CNSM)"},{"citation":{"apa":"Schneider, S. B., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., Khalili, R., & Hecker, A. (2020). Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In IEEE International Conference on Network and Service Management (CNSM). IEEE.","ama":"Schneider SB, Manzoor A, Qarawlus H, et al. Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In: IEEE International Conference on Network and Service Management (CNSM). IEEE; 2020.","chicago":"Schneider, Stefan Balthasar, Adnan Manzoor, Haydar Qarawlus, Rafael Schellenberg, Holger Karl, Ramin Khalili, and Artur Hecker. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” In IEEE International Conference on Network and Service Management (CNSM). IEEE, 2020.","bibtex":"@inproceedings{Schneider_Manzoor_Qarawlus_Schellenberg_Karl_Khalili_Hecker_2020, title={Self-Driving Network and Service Coordination Using Deep Reinforcement Learning}, booktitle={IEEE International Conference on Network and Service Management (CNSM)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Manzoor, Adnan and Qarawlus, Haydar and Schellenberg, Rafael and Karl, Holger and Khalili, Ramin and Hecker, Artur}, year={2020} }","mla":"Schneider, Stefan Balthasar, et al. “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning.” IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.","short":"S.B. Schneider, A. Manzoor, H. Qarawlus, R. Schellenberg, H. Karl, R. Khalili, A. Hecker, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.","ieee":"S. B. Schneider et al., “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning,” in IEEE International Conference on Network and Service Management (CNSM), 2020."},"year":"2020","type":"conference","_id":"19609","date_created":"2020-09-22T06:28:22Z","has_accepted_license":"1","status":"public","file":[{"file_name":"ris_with_copyright.pdf","date_created":"2020-09-22T06:29:16Z","access_level":"open_access","creator":"stschn","file_id":"19610","file_size":642999,"relation":"main_file","date_updated":"2020-09-22T06:36:00Z","content_type":"application/pdf"}],"publication":"IEEE International Conference on Network and Service Management (CNSM)","file_date_updated":"2020-09-22T06:36:00Z","keyword":["self-driving networks","self-learning","network coordination","service coordination","reinforcement learning","deep learning","nfv"],"publisher":"IEEE","author":[{"first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011","last_name":"Schneider","id":"35343"},{"full_name":"Manzoor, Adnan","first_name":"Adnan","last_name":"Manzoor"},{"last_name":"Qarawlus","first_name":"Haydar","full_name":"Qarawlus, Haydar"},{"last_name":"Schellenberg","full_name":"Schellenberg, Rafael","first_name":"Rafael"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"},{"last_name":"Khalili","first_name":"Ramin","full_name":"Khalili, Ramin"},{"last_name":"Hecker","full_name":"Hecker, Artur","first_name":"Artur"}],"user_id":"35343","ddc":["006"],"abstract":[{"lang":"eng","text":"Modern services comprise interconnected components,\r\ne.g., microservices in a service mesh, that can scale and\r\nrun on multiple nodes across the network on demand. To process\r\nincoming traffic, service components have to be instantiated and\r\ntraffic assigned to these instances, taking capacities and changing\r\ndemands into account. This challenge is usually solved with\r\ncustom approaches designed by experts. While this typically\r\nworks well for the considered scenario, the models often rely\r\non unrealistic assumptions or on knowledge that is not available\r\nin practice (e.g., a priori knowledge).\r\n\r\nWe propose a novel deep reinforcement learning approach that\r\nlearns how to best coordinate services and is geared towards\r\nrealistic assumptions. It interacts with the network and relies on\r\navailable, possibly delayed monitoring information. Rather than\r\ndefining a complex model or an algorithm how to achieve an\r\nobjective, our model-free approach adapts to various objectives\r\nand traffic patterns. An agent is trained offline without expert\r\nknowledge and then applied online with minimal overhead. Compared\r\nto a state-of-the-art heuristic, it significantly improves flow\r\nthroughput and overall network utility on real-world network\r\ntopologies and traffic traces. It also learns to optimize different\r\nobjectives, generalizes to scenarios with unseen, stochastic traffic\r\npatterns, and scales to large real-world networks."}],"language":[{"iso":"eng"}],"oa":"1","date_updated":"2022-01-06T06:54:08Z","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"department":[{"_id":"75"}],"title":"Self-Driving Network and Service Coordination Using Deep Reinforcement Learning"},{"doi":"https://doi.org/10.1109/CCGrid49817.2020.00010","date_updated":"2022-01-06T06:53:04Z","language":[{"iso":"eng"}],"title":"Coflow Scheduling with Performance Guarantees for Data Center Applications","project":[{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C4","_id":"16"},{"name":"SFB 901","_id":"1"}],"publication_status":"published","department":[{"_id":"75"}],"conference":{"location":"Melbourne, Australia","name":"2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)"},"_id":"17082","type":"conference","year":"2020","citation":{"ama":"Hasnain A, Karl H. Coflow Scheduling with Performance Guarantees for Data Center Applications. In: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE Computer Society; 2020. doi:https://doi.org/10.1109/CCGrid49817.2020.00010","apa":"Hasnain, A., & Karl, H. (2020). Coflow Scheduling with Performance Guarantees for Data Center Applications. In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). Melbourne, Australia: IEEE Computer Society. https://doi.org/10.1109/CCGrid49817.2020.00010","chicago":"Hasnain, Asif, and Holger Karl. “Coflow Scheduling with Performance Guarantees for Data Center Applications.” In 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID). IEEE Computer Society, 2020. https://doi.org/10.1109/CCGrid49817.2020.00010.","mla":"Hasnain, Asif, and Holger Karl. “Coflow Scheduling with Performance Guarantees for Data Center Applications.” 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), IEEE Computer Society, 2020, doi:https://doi.org/10.1109/CCGrid49817.2020.00010.","bibtex":"@inproceedings{Hasnain_Karl_2020, title={Coflow Scheduling with Performance Guarantees for Data Center Applications}, DOI={https://doi.org/10.1109/CCGrid49817.2020.00010}, booktitle={2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)}, publisher={IEEE Computer Society}, author={Hasnain, Asif and Karl, Holger}, year={2020} }","short":"A. Hasnain, H. Karl, in: 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), IEEE Computer Society, 2020.","ieee":"A. Hasnain and H. Karl, “Coflow Scheduling with Performance Guarantees for Data Center Applications,” in 2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), Melbourne, Australia, 2020."},"main_file_link":[{"url":"https://ieeexplore.ieee.org/abstract/document/9139642"}],"user_id":"63288","ddc":["000"],"abstract":[{"text":"Data-parallel applications run on cluster of servers in a datacenter and their communication triggers correlated resource demand on multiple links that can be abstracted as coflow. They often desire predictable network performance, which can be passed to network via coflow abstraction for application-aware network scheduling. In this paper, we propose a heuristic and an optimization algorithm for predictable network performance such that they guarantee coflows completion within their deadlines. The algorithms also ensure high network utilization, i.e., it's work-conserving, and avoids starvation of coflows. We evaluate both algorithms via trace-driven simulation and show that they admit 1.1x more coflows than the Varys scheme while meeting their deadlines.","lang":"eng"}],"date_created":"2020-06-06T07:40:45Z","status":"public","publication":"2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID)","keyword":["Coflow","Scheduling","Deadlines","Data centers"],"author":[{"id":"63288","last_name":"Hasnain","full_name":"Hasnain, Asif","first_name":"Asif"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"}],"publisher":"IEEE Computer Society"},{"type":"conference","year":"2020","citation":{"bibtex":"@inproceedings{Schneider_Satheeschandran_Peuster_Karl_2020, title={Machine Learning for Dynamic Resource Allocation in Network Function Virtualization}, booktitle={IEEE Conference on Network Softwarization (NetSoft)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Satheeschandran, Narayanan Puthenpurayil and Peuster, Manuel and Karl, Holger}, year={2020} }","mla":"Schneider, Stefan Balthasar, et al. “Machine Learning for Dynamic Resource Allocation in Network Function Virtualization.” IEEE Conference on Network Softwarization (NetSoft), IEEE, 2020.","chicago":"Schneider, Stefan Balthasar, Narayanan Puthenpurayil Satheeschandran, Manuel Peuster, and Holger Karl. “Machine Learning for Dynamic Resource Allocation in Network Function Virtualization.” In IEEE Conference on Network Softwarization (NetSoft). IEEE, 2020.","ama":"Schneider SB, Satheeschandran NP, Peuster M, Karl H. Machine Learning for Dynamic Resource Allocation in Network Function Virtualization. In: IEEE Conference on Network Softwarization (NetSoft). IEEE; 2020.","apa":"Schneider, S. B., Satheeschandran, N. P., Peuster, M., & Karl, H. (2020). Machine Learning for Dynamic Resource Allocation in Network Function Virtualization. In IEEE Conference on Network Softwarization (NetSoft). Ghent, Belgium: IEEE.","ieee":"S. B. Schneider, N. P. Satheeschandran, M. Peuster, and H. Karl, “Machine Learning for Dynamic Resource Allocation in Network Function Virtualization,” in IEEE Conference on Network Softwarization (NetSoft), Ghent, Belgium, 2020.","short":"S.B. Schneider, N.P. Satheeschandran, M. Peuster, H. Karl, in: IEEE Conference on Network Softwarization (NetSoft), IEEE, 2020."},"conference":{"location":"Ghent, Belgium","name":"IEEE Conference on Network Softwarization (NetSoft)"},"_id":"16219","file":[{"file_name":"ris_preprint.pdf","date_created":"2020-03-03T11:42:16Z","access_level":"open_access","file_id":"16220","creator":"stschn","file_size":476590,"relation":"main_file","date_updated":"2020-03-03T11:42:16Z","content_type":"application/pdf"}],"file_date_updated":"2020-03-03T11:42:16Z","publication":"IEEE Conference on Network Softwarization (NetSoft)","publisher":"IEEE","author":[{"orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","first_name":"Stefan Balthasar","id":"35343","last_name":"Schneider"},{"full_name":"Satheeschandran, Narayanan Puthenpurayil","first_name":"Narayanan Puthenpurayil","last_name":"Satheeschandran"},{"id":"13271","last_name":"Peuster","full_name":"Peuster, Manuel","first_name":"Manuel"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"date_created":"2020-03-03T11:42:22Z","has_accepted_license":"1","status":"public","abstract":[{"text":"Network function virtualization (NFV) proposes\r\nto replace physical middleboxes with more flexible virtual\r\nnetwork functions (VNFs). To dynamically adjust to everchanging\r\ntraffic demands, VNFs have to be instantiated and\r\ntheir allocated resources have to be adjusted on demand.\r\nDeciding the amount of allocated resources is non-trivial.\r\nExisting optimization approaches often assume fixed resource\r\nrequirements for each VNF instance. However, this can easily\r\nlead to either waste of resources or bad service quality if too\r\nmany or too few resources are allocated.\r\n\r\nTo solve this problem, we train machine learning models\r\non real VNF data, containing measurements of performance\r\nand resource requirements. For each VNF, the trained models\r\ncan then accurately predict the required resources to handle\r\na certain traffic load. We integrate these machine learning\r\nmodels into an algorithm for joint VNF scaling and placement\r\nand evaluate their impact on resulting VNF placements. Our\r\nevaluation based on real-world data shows that using suitable\r\nmachine learning models effectively avoids over- and underallocation\r\nof resources, leading to up to 12 times lower resource\r\nconsumption and better service quality with up to 4.5 times\r\nlower total delay than using standard fixed resource allocation.","lang":"eng"}],"user_id":"35343","ddc":["000"],"language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:52:46Z","oa":"1","department":[{"_id":"75"}],"project":[{"_id":"28","name":"5G Development and validation platform for global industry-specific network services and Apps","grant_number":"761493"},{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"title":"Machine Learning for Dynamic Resource Allocation in Network Function Virtualization"},{"year":"2020","type":"conference","citation":{"ieee":"A. Zafeiropoulos et al., “Benchmarking and Profiling 5G Verticals’ Applications: An Industrial IoT Use Case,” in IEEE Conference on Network Softwarization (NetSoft), 2020.","short":"A. Zafeiropoulos, E. Fotopoulou, M. Peuster, S.B. Schneider, P. Gouvas, D. Behnke, M. Müller, P. Bök, P. Trakadas, P. Karkazis, H. Karl, in: IEEE Conference on Network Softwarization (NetSoft), 2020.","bibtex":"@inproceedings{Zafeiropoulos_Fotopoulou_Peuster_Schneider_Gouvas_Behnke_Müller_Bök_Trakadas_Karkazis_et al._2020, title={Benchmarking and Profiling 5G Verticals’ Applications: An Industrial IoT Use Case}, booktitle={IEEE Conference on Network Softwarization (NetSoft)}, author={Zafeiropoulos, A. and Fotopoulou, E. and Peuster, Manuel and Schneider, Stefan Balthasar and Gouvas, P. and Behnke, D. and Müller, M. and Bök, P. and Trakadas, P. and Karkazis, P. and et al.}, year={2020} }","mla":"Zafeiropoulos, A., et al. “Benchmarking and Profiling 5G Verticals’ Applications: An Industrial IoT Use Case.” IEEE Conference on Network Softwarization (NetSoft), 2020.","chicago":"Zafeiropoulos, A., E. Fotopoulou, Manuel Peuster, Stefan Balthasar Schneider, P. Gouvas, D. Behnke, M. Müller, et al. “Benchmarking and Profiling 5G Verticals’ Applications: An Industrial IoT Use Case.” In IEEE Conference on Network Softwarization (NetSoft), 2020.","apa":"Zafeiropoulos, A., Fotopoulou, E., Peuster, M., Schneider, S. B., Gouvas, P., Behnke, D., … Karl, H. (2020). Benchmarking and Profiling 5G Verticals’ Applications: An Industrial IoT Use Case. In IEEE Conference on Network Softwarization (NetSoft).","ama":"Zafeiropoulos A, Fotopoulou E, Peuster M, et al. Benchmarking and Profiling 5G Verticals’ Applications: An Industrial IoT Use Case. In: IEEE Conference on Network Softwarization (NetSoft). ; 2020."},"language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:52:46Z","_id":"16222","status":"public","project":[{"_id":"28","name":"5G Development and validation platform for global industry-specific network services and Apps","grant_number":"761493"}],"date_created":"2020-03-03T11:51:22Z","author":[{"last_name":"Zafeiropoulos","full_name":"Zafeiropoulos, A.","first_name":"A."},{"first_name":"E.","full_name":"Fotopoulou, E.","last_name":"Fotopoulou"},{"full_name":"Peuster, Manuel","first_name":"Manuel","id":"13271","last_name":"Peuster"},{"orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","first_name":"Stefan Balthasar","id":"35343","last_name":"Schneider"},{"first_name":"P.","full_name":"Gouvas, P.","last_name":"Gouvas"},{"full_name":"Behnke, D.","first_name":"D.","last_name":"Behnke"},{"full_name":"Müller, M.","first_name":"M.","last_name":"Müller"},{"last_name":"Bök","full_name":"Bök, P.","first_name":"P."},{"first_name":"P.","full_name":"Trakadas, P.","last_name":"Trakadas"},{"full_name":"Karkazis, P.","first_name":"P.","last_name":"Karkazis"},{"first_name":"Holger","full_name":"Karl, Holger","last_name":"Karl","id":"126"}],"department":[{"_id":"75"}],"publication":"IEEE Conference on Network Softwarization (NetSoft)","title":"Benchmarking and Profiling 5G Verticals' Applications: An Industrial IoT Use Case","user_id":"35343"},{"abstract":[{"text":"Currently, the coexistence of multiple users and devices challenges the network's ability to reliably connect them. This article proposes a novel communication architecture that satisfies the requirements of fifth-generation (5G) mobile network applications. In particular, this architecture extends and combines ultra-dense networking (UDN), multi-access edge computing (MEC), and virtual infrastructure manager (VIM) concepts to provide a flexible network of moving radio access (RA) nodes, flying or moving to areas where users and devices struggle for connectivity and data rate. Furthermore, advances in radio communications and non-orthogonal multiple access (NOMA), virtualization technologies and energy-awareness mechanisms are integrated towards a mobile UDN that not only allows RA nodes to follow the user but also enables the virtualized network functions (VNFs) to adapt to user mobility by migrating from one node to another. Performance evaluation shows that the underlying network improves connectivity of users and devices through the flexible deployment of moving RA nodes and the use of NOMA.","lang":"eng"}],"user_id":"126","title":"A UAV-based moving 5G RAN for massive connectivity of mobile users and IoT devices","department":[{"_id":"75"}],"publication":"Vehicular Communications","author":[{"full_name":"Nomikos, Nikolaos","first_name":"Nikolaos","last_name":"Nomikos"},{"full_name":"Michailidis, Emmanouel T.","first_name":"Emmanouel T.","last_name":"Michailidis"},{"full_name":"Trakadas, Panagiotis","first_name":"Panagiotis","last_name":"Trakadas"},{"last_name":"Vouyioukas","full_name":"Vouyioukas, Demosthenes","first_name":"Demosthenes"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"},{"first_name":"Josep","full_name":"Martrat, Josep","last_name":"Martrat"},{"first_name":"Theodore","full_name":"Zahariadis, Theodore","last_name":"Zahariadis"},{"last_name":"Papadopoulos","first_name":"Konstantinos","full_name":"Papadopoulos, Konstantinos"},{"last_name":"Voliotis","full_name":"Voliotis, Stamatis","first_name":"Stamatis"}],"date_created":"2020-03-10T15:59:56Z","status":"public","publication_identifier":{"issn":["2214-2096"]},"publication_status":"published","_id":"16278","date_updated":"2022-01-06T06:52:48Z","doi":"10.1016/j.vehcom.2020.100250","article_number":"100250","language":[{"iso":"eng"}],"citation":{"bibtex":"@article{Nomikos_Michailidis_Trakadas_Vouyioukas_Karl_Martrat_Zahariadis_Papadopoulos_Voliotis_2020, title={A UAV-based moving 5G RAN for massive connectivity of mobile users and IoT devices}, DOI={10.1016/j.vehcom.2020.100250}, number={100250}, journal={Vehicular Communications}, author={Nomikos, Nikolaos and Michailidis, Emmanouel T. and Trakadas, Panagiotis and Vouyioukas, Demosthenes and Karl, Holger and Martrat, Josep and Zahariadis, Theodore and Papadopoulos, Konstantinos and Voliotis, Stamatis}, year={2020} }","mla":"Nomikos, Nikolaos, et al. “A UAV-Based Moving 5G RAN for Massive Connectivity of Mobile Users and IoT Devices.” Vehicular Communications, 100250, 2020, doi:10.1016/j.vehcom.2020.100250.","apa":"Nomikos, N., Michailidis, E. T., Trakadas, P., Vouyioukas, D., Karl, H., Martrat, J., … Voliotis, S. (2020). A UAV-based moving 5G RAN for massive connectivity of mobile users and IoT devices. Vehicular Communications. https://doi.org/10.1016/j.vehcom.2020.100250","ama":"Nomikos N, Michailidis ET, Trakadas P, et al. A UAV-based moving 5G RAN for massive connectivity of mobile users and IoT devices. Vehicular Communications. 2020. doi:10.1016/j.vehcom.2020.100250","chicago":"Nomikos, Nikolaos, Emmanouel T. Michailidis, Panagiotis Trakadas, Demosthenes Vouyioukas, Holger Karl, Josep Martrat, Theodore Zahariadis, Konstantinos Papadopoulos, and Stamatis Voliotis. “A UAV-Based Moving 5G RAN for Massive Connectivity of Mobile Users and IoT Devices.” Vehicular Communications, 2020. https://doi.org/10.1016/j.vehcom.2020.100250.","ieee":"N. Nomikos et al., “A UAV-based moving 5G RAN for massive connectivity of mobile users and IoT devices,” Vehicular Communications, 2020.","short":"N. Nomikos, E.T. Michailidis, P. Trakadas, D. Vouyioukas, H. Karl, J. Martrat, T. Zahariadis, K. Papadopoulos, S. Voliotis, Vehicular Communications (2020)."},"year":"2020","type":"journal_article"},{"doi":"10.1109/mwc.001.1900280","_id":"16280","date_updated":"2022-01-06T06:52:48Z","page":"24-30","type":"journal_article","year":"2020","citation":{"apa":"Li, F., Yu, D., Yang, H., Yu, J., Karl, H., & Cheng, X. (2020). Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey. IEEE Wireless Communications, 24–30. https://doi.org/10.1109/mwc.001.1900280","ama":"Li F, Yu D, Yang H, Yu J, Karl H, Cheng X. Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey. IEEE Wireless Communications. 2020:24-30. doi:10.1109/mwc.001.1900280","chicago":"Li, Feng, Dongxiao Yu, Huan Yang, Jiguo Yu, Holger Karl, and Xiuzhen Cheng. “Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey.” IEEE Wireless Communications, 2020, 24–30. https://doi.org/10.1109/mwc.001.1900280.","bibtex":"@article{Li_Yu_Yang_Yu_Karl_Cheng_2020, title={Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey}, DOI={10.1109/mwc.001.1900280}, journal={IEEE Wireless Communications}, author={Li, Feng and Yu, Dongxiao and Yang, Huan and Yu, Jiguo and Karl, Holger and Cheng, Xiuzhen}, year={2020}, pages={24–30} }","mla":"Li, Feng, et al. “Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey.” IEEE Wireless Communications, 2020, pp. 24–30, doi:10.1109/mwc.001.1900280.","short":"F. Li, D. Yu, H. Yang, J. Yu, H. Karl, X. Cheng, IEEE Wireless Communications (2020) 24–30.","ieee":"F. Li, D. Yu, H. Yang, J. Yu, H. Karl, and X. Cheng, “Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey,” IEEE Wireless Communications, pp. 24–30, 2020."},"language":[{"iso":"eng"}],"title":"Multi-Armed-Bandit-Based Spectrum Scheduling Algorithms in Wireless Networks: A Survey","user_id":"126","abstract":[{"text":"Assigning bands of the wireless spectrum as resources to users is a common problem in wireless networks. Typically, frequency bands were assumed to be available in a stable manner. Nevertheless, in recent scenarios where wireless networks may be deployed in unknown environments, spectrum competition is considered, making it uncertain whether a frequency band is available at all or at what quality. To fully exploit such resources with uncertain availability, the multi-armed bandit (MAB) method, a representative online learning technique, has been applied to design spectrum scheduling algorithms. This article surveys such proposals. We describe the following three aspects: how to model spectrum scheduling problems within the MAB framework, what the main thread is following which prevalent algorithms are designed, and how to evaluate algorithm performance and complexity. We also give some promising directions for future research in related fields.","lang":"eng"}],"publication_identifier":{"issn":["1536-1284","1558-0687"]},"publication_status":"published","date_created":"2020-03-10T16:02:30Z","status":"public","publication":"IEEE Wireless Communications","department":[{"_id":"75"}],"author":[{"last_name":"Li","first_name":"Feng","full_name":"Li, Feng"},{"first_name":"Dongxiao","full_name":"Yu, Dongxiao","last_name":"Yu"},{"full_name":"Yang, Huan","first_name":"Huan","last_name":"Yang"},{"first_name":"Jiguo","full_name":"Yu, Jiguo","last_name":"Yu"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"},{"last_name":"Cheng","full_name":"Cheng, Xiuzhen","first_name":"Xiuzhen"}]},{"place":"Ghent, Belgium","abstract":[{"lang":"eng","text":"Softwarization facilitates the introduction of smart\r\nmanufacturing applications in the industry. Manifold devices\r\nsuch as machine computers, Industrial IoT devices, tablets,\r\nsmartphones and smart glasses are integrated into factory networks\r\nto enable shop floor digitalization and big data analysis. To\r\nhandle the increasing number of devices and the resulting traffic,\r\na flexible and scalable factory network is necessary which can be\r\nrealized using softwarization technologies like Network Function\r\nVirtualization (NFV). However, the security risks increase with\r\nthe increasing number of new devices, so that cyber security must\r\nalso be considered in NFV-based networks.\r\n\r\nTherefore, extending our previous work, we showcase threat\r\ndetection using a cloud-native NFV-driven intrusion detection\r\nsystem (IDS) that is integrated in our industrial-specific network\r\nservices. As a result of the threat detection, the affected network\r\nservice is put into quarantine via automatic network reconfiguration.\r\nWe use the 5GTANGO service platform to deploy our\r\ndeveloped network services on Kubernetes and to initiate the\r\nnetwork reconfiguration."}],"user_id":"35343","title":"Cloud-Native Threat Detection and Containment for Smart Manufacturing","publisher":"IEEE","author":[{"full_name":"Müller, Marcel","first_name":"Marcel","last_name":"Müller"},{"last_name":"Behnke","first_name":"Daniel","full_name":"Behnke, Daniel"},{"full_name":"Bök, Patrick-Benjamin","first_name":"Patrick-Benjamin","last_name":"Bök"},{"last_name":"Schneider","id":"35343","first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar"},{"id":"13271","last_name":"Peuster","full_name":"Peuster, Manuel","first_name":"Manuel"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"}],"publication":"IEEE Conference on Network Softwarization (NetSoft) Demo Track","department":[{"_id":"75"}],"status":"public","date_created":"2020-04-03T11:53:00Z","project":[{"_id":"28","name":"5G Development and validation platform for global industry-specific network services and Apps","grant_number":"761493"},{"name":"SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"_id":"16400","date_updated":"2022-01-06T06:52:50Z","conference":{"name":"IEEE Conference on Network Softwarization (NetSoft) Demo Track","location":"Ghent, Belgium"},"language":[{"iso":"eng"}],"type":"conference","citation":{"ieee":"M. Müller, D. Behnke, P.-B. Bök, S. B. Schneider, M. Peuster, and H. Karl, “Cloud-Native Threat Detection and Containment for Smart Manufacturing,” in IEEE Conference on Network Softwarization (NetSoft) Demo Track, Ghent, Belgium, 2020.","short":"M. Müller, D. Behnke, P.-B. Bök, S.B. Schneider, M. Peuster, H. Karl, in: IEEE Conference on Network Softwarization (NetSoft) Demo Track, IEEE, Ghent, Belgium, 2020.","bibtex":"@inproceedings{Müller_Behnke_Bök_Schneider_Peuster_Karl_2020, place={Ghent, Belgium}, title={Cloud-Native Threat Detection and Containment for Smart Manufacturing}, booktitle={IEEE Conference on Network Softwarization (NetSoft) Demo Track}, publisher={IEEE}, author={Müller, Marcel and Behnke, Daniel and Bök, Patrick-Benjamin and Schneider, Stefan Balthasar and Peuster, Manuel and Karl, Holger}, year={2020} }","mla":"Müller, Marcel, et al. “Cloud-Native Threat Detection and Containment for Smart Manufacturing.” IEEE Conference on Network Softwarization (NetSoft) Demo Track, IEEE, 2020.","chicago":"Müller, Marcel, Daniel Behnke, Patrick-Benjamin Bök, Stefan Balthasar Schneider, Manuel Peuster, and Holger Karl. “Cloud-Native Threat Detection and Containment for Smart Manufacturing.” In IEEE Conference on Network Softwarization (NetSoft) Demo Track. Ghent, Belgium: IEEE, 2020.","ama":"Müller M, Behnke D, Bök P-B, Schneider SB, Peuster M, Karl H. Cloud-Native Threat Detection and Containment for Smart Manufacturing. In: IEEE Conference on Network Softwarization (NetSoft) Demo Track. Ghent, Belgium: IEEE; 2020.","apa":"Müller, M., Behnke, D., Bök, P.-B., Schneider, S. B., Peuster, M., & Karl, H. (2020). Cloud-Native Threat Detection and Containment for Smart Manufacturing. In IEEE Conference on Network Softwarization (NetSoft) Demo Track. Ghent, Belgium: IEEE."},"year":"2020"},{"citation":{"apa":"Karl, H., Kundisch, D., Meyer auf der Heide, F., & Wehrheim, H. (2020). A Case for a New IT Ecosystem: On-The-Fly Computing. Business & Information Systems Engineering, 62(6), 467–481. https://doi.org/10.1007/s12599-019-00627-x","ama":"Karl H, Kundisch D, Meyer auf der Heide F, Wehrheim H. A Case for a New IT Ecosystem: On-The-Fly Computing. Business & Information Systems Engineering. 2020;62(6):467-481. doi:10.1007/s12599-019-00627-x","chicago":"Karl, Holger, Dennis Kundisch, Friedhelm Meyer auf der Heide, and Heike Wehrheim. “A Case for a New IT Ecosystem: On-The-Fly Computing.” Business & Information Systems Engineering 62, no. 6 (2020): 467–81. https://doi.org/10.1007/s12599-019-00627-x.","mla":"Karl, Holger, et al. “A Case for a New IT Ecosystem: On-The-Fly Computing.” Business & Information Systems Engineering, vol. 62, no. 6, Springer, 2020, pp. 467–81, doi:10.1007/s12599-019-00627-x.","bibtex":"@article{Karl_Kundisch_Meyer auf der Heide_Wehrheim_2020, title={A Case for a New IT Ecosystem: On-The-Fly Computing}, volume={62}, DOI={10.1007/s12599-019-00627-x}, number={6}, journal={Business & Information Systems Engineering}, publisher={Springer}, author={Karl, Holger and Kundisch, Dennis and Meyer auf der Heide, Friedhelm and Wehrheim, Heike}, year={2020}, pages={467–481} }","short":"H. Karl, D. Kundisch, F. Meyer auf der Heide, H. Wehrheim, Business & Information Systems Engineering 62 (2020) 467–481.","ieee":"H. Karl, D. Kundisch, F. Meyer auf der Heide, and H. Wehrheim, “A Case for a New IT Ecosystem: On-The-Fly Computing,” Business & Information Systems Engineering, vol. 62, no. 6, pp. 467–481, 2020, doi: 10.1007/s12599-019-00627-x."},"type":"journal_article","year":"2020","page":"467-481","issue":"6","intvolume":" 62","_id":"13770","has_accepted_license":"1","status":"public","date_created":"2019-10-10T13:41:06Z","volume":62,"file":[{"file_size":454532,"file_id":"15311","creator":"ups","content_type":"application/pdf","date_updated":"2019-12-12T10:24:47Z","relation":"main_file","success":1,"file_name":"Karl2019_Article_ACaseForANewITEcosystemOn-The-.pdf","date_created":"2019-12-12T10:24:47Z","access_level":"closed"}],"publisher":"Springer","author":[{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"},{"last_name":"Kundisch","id":"21117","first_name":"Dennis","full_name":"Kundisch, Dennis"},{"first_name":"Friedhelm","full_name":"Meyer auf der Heide, Friedhelm","last_name":"Meyer auf der Heide","id":"15523"},{"full_name":"Wehrheim, Heike","first_name":"Heike","id":"573","last_name":"Wehrheim"}],"publication":"Business & Information Systems Engineering","file_date_updated":"2019-12-12T10:24:47Z","user_id":"477","ddc":["004"],"language":[{"iso":"eng"}],"doi":"10.1007/s12599-019-00627-x","date_updated":"2022-12-02T09:27:17Z","project":[{"_id":"1","name":"SFB 901"},{"_id":"2","name":"SFB 901 - Project Area A"},{"_id":"3","name":"SFB 901 - Project Area B"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Project Area T","_id":"82"},{"name":"SFB 901 - Subproject A1","_id":"5"},{"name":"SFB 901 - Subproject A2","_id":"6"},{"name":"SFB 901 - Subproject A3","_id":"7"},{"name":"SFB 901 - Subproject A4","_id":"8"},{"name":"SFB 901 - Subproject B1","_id":"9"},{"_id":"10","name":"SFB 901 - Subproject B2"},{"_id":"11","name":"SFB 901 - Subproject B3"},{"name":"SFB 901 - Subproject B4","_id":"12"},{"name":"SFB 901 - Subproject C1","_id":"13"},{"name":"SFB 901 - Subproject C2","_id":"14"},{"name":"SFB 901 - Subproject C3","_id":"15"},{"_id":"16","name":"SFB 901 - Subproject C4"},{"name":"SFB 901 - Subproject C5","_id":"17"},{"name":"SFB 901 -Subproject T1","_id":"83"},{"_id":"84","name":"SFB 901 -Subproject T2"},{"_id":"107","name":"SFB 901 -Subproject T3"},{"name":"SFB 901 - T4: SFB 901 -Subproject T4","_id":"158"}],"publication_status":"published","department":[{"_id":"276"},{"_id":"75"},{"_id":"63"},{"_id":"77"}],"title":"A Case for a New IT Ecosystem: On-The-Fly Computing"},{"citation":{"mla":"Schneider, Stefan Balthasar, et al. “Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets.” 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM), IFIP, 2019, pp. 116--124.","bibtex":"@inproceedings{Schneider_Sharma_Karl_Wehrheim_2019, place={Washington, DC, USA}, title={Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets}, booktitle={2019 IFIP/IEEE International Symposium on Integrated Network Management (IM)}, publisher={IFIP}, author={Schneider, Stefan Balthasar and Sharma, Arnab and Karl, Holger and Wehrheim, Heike}, year={2019}, pages={116--124} }","ama":"Schneider SB, Sharma A, Karl H, Wehrheim H. Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. In: 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM). Washington, DC, USA: IFIP; 2019:116--124.","apa":"Schneider, S. B., Sharma, A., Karl, H., & Wehrheim, H. (2019). Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets. In 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM) (pp. 116--124). Washington, DC, USA: IFIP.","chicago":"Schneider, Stefan Balthasar, Arnab Sharma, Holger Karl, and Heike Wehrheim. “Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets.” In 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM), 116--124. Washington, DC, USA: IFIP, 2019.","ieee":"S. B. Schneider, A. Sharma, H. Karl, and H. Wehrheim, “Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets,” in 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM), Washington, DC, USA, 2019, pp. 116--124.","short":"S.B. Schneider, A. Sharma, H. Karl, H. Wehrheim, in: 2019 IFIP/IEEE International Symposium on Integrated Network Management (IM), IFIP, Washington, DC, USA, 2019, pp. 116--124."},"type":"conference","year":"2019","page":"116--124","main_file_link":[{"open_access":"1","url":"http://dl.ifip.org/db/conf/im/im2019/188490.pdf"}],"_id":"3287","conference":{"location":"Washington, DC, USA","start_date":"2019-04-08","name":"2019 IFIP/IEEE International Symposium on Integrated Network Management (IM)","end_date":"2019-04-12"},"has_accepted_license":"1","status":"public","date_created":"2018-06-18T15:23:18Z","file":[{"file_size":497528,"creator":"stschn","file_id":"6504","date_updated":"2019-01-07T12:38:35Z","content_type":"application/pdf","relation":"main_file","date_created":"2019-01-07T12:38:35Z","file_name":"ris_preprint.pdf","access_level":"open_access"}],"author":[{"first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","last_name":"Schneider","id":"35343"},{"full_name":"Sharma, Arnab","first_name":"Arnab","id":"67200","last_name":"Sharma"},{"first_name":"Holger","full_name":"Karl, Holger","last_name":"Karl","id":"126"},{"full_name":"Wehrheim, Heike","first_name":"Heike","id":"573","last_name":"Wehrheim"}],"publisher":"IFIP","publication":"2019 IFIP/IEEE International Symposium on Integrated Network Management (IM)","file_date_updated":"2019-01-07T12:38:35Z","user_id":"35343","ddc":["040"],"abstract":[{"text":"For optimal placement and orchestration of network services, it is crucial\r\nthat their structure and semantics are specified clearly and comprehensively\r\nand are available to an orchestrator. Existing specification approaches are\r\neither ambiguous or miss important aspects regarding the behavior of virtual\r\nnetwork functions (VNFs) forming a service. We propose to formally and\r\nunambiguously specify the behavior of these functions and services using\r\nQueuing Petri Nets (QPNs). QPNs are an established method that allows to\r\nexpress queuing, synchronization, stochastically distributed processing delays,\r\nand changing traffic volume and characteristics at each VNF. With QPNs,\r\nmultiple VNFs can be connected to complete network services in any structure,\r\neven specifying bidirectional network services containing loops.\r\n We discuss how management and orchestration systems can benefit from our\r\nclear and comprehensive specification approach, leading to better placement of\r\nVNFs and improved Quality of Service. Another benefit of formally specifying\r\nnetwork services with QPNs are diverse analysis options, which allow valuable\r\ninsights such as the distribution of end-to-end delay. We propose a tool-based\r\nworkflow that supports the specification of network services and the automatic\r\ngeneration of corresponding simulation code to enable an in-depth analysis of\r\ntheir behavior and performance.","lang":"eng"}],"language":[{"iso":"eng"}],"oa":"1","date_updated":"2022-01-06T06:59:09Z","project":[{"name":"SFB 901 - Project Area B","_id":"3"},{"_id":"11","name":"SFB 901 - Subproject B3"},{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"},{"grant_number":"761493","name":"5G Development and validation platform for global industry-specific network services and Apps","_id":"28"},{"name":"SONATA NFV: Agile Service Development and Orchestration in 5G Virtualized Networks","grant_number":"671517","call_identifier":"5G PPP Phase 1","_id":"25"}],"department":[{"_id":"77"},{"_id":"75"}],"title":"Specifying and Analyzing Virtual Network Services Using Queuing Petri Nets","place":"Washington, DC, USA"},{"publication":"European Conference on Networks and Communications (EuCNC)","file_date_updated":"2019-12-12T09:15:57Z","keyword":["5g","vertical","smart manufacturing","nfv"],"publisher":"IEEE","author":[{"first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","last_name":"Schneider","id":"35343"},{"first_name":"Manuel","full_name":"Peuster, Manuel","last_name":"Peuster","id":"13271"},{"last_name":"Behnke","first_name":"Daniel","full_name":"Behnke, Daniel"},{"full_name":"Marcel, Müller","first_name":"Müller","last_name":"Marcel"},{"first_name":"Patrick-Benjamin","full_name":"Bök, Patrick-Benjamin","last_name":"Bök"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"file":[{"creator":"stschn","file_id":"9272","file_size":374397,"relation":"main_file","date_updated":"2019-12-12T09:15:57Z","content_type":"application/pdf","date_created":"2019-04-23T09:29:49Z","file_name":"preprint_ris_with_header.pdf","access_level":"open_access"}],"date_created":"2019-04-23T09:27:06Z","status":"public","has_accepted_license":"1","abstract":[{"text":"As 5G and network function virtualization (NFV) are maturing, it becomes crucial to demonstrate their feasibility and benefits by means of vertical scenarios. While 5GPPP has identified smart manufacturing as one of the most important vertical industries, there is still a lack of specific, practical use cases. \r\n\r\nUsing the experience from a large-scale manufacturing company, Weidm{\\\"u}ller Group, we present a detailed use case that reflects the needs of real-world manufacturers. We also propose an architecture with specific network services and virtual network functions (VNFs) that realize the use case in practice. As a proof of concept, we implement the required services and deploy them on an emulation-based prototyping platform. Our experimental results indicate that a fully virtualized smart manufacturing use case is not only feasible but also reduces machine interconnection and configuration time and thus improves productivity by orders of magnitude.","lang":"eng"}],"ddc":["000"],"user_id":"35343","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/8802016"}],"citation":{"ieee":"S. B. Schneider, M. Peuster, D. Behnke, M. Marcel, P.-B. Bök, and H. Karl, “Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario,” in European Conference on Networks and Communications (EuCNC), 2019.","short":"S.B. Schneider, M. Peuster, D. Behnke, M. Marcel, P.-B. Bök, H. Karl, in: European Conference on Networks and Communications (EuCNC), IEEE, Valencia, Spain, 2019.","mla":"Schneider, Stefan Balthasar, et al. “Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario.” European Conference on Networks and Communications (EuCNC), IEEE, 2019, doi:10.1109/eucnc.2019.8802016.","bibtex":"@inproceedings{Schneider_Peuster_Behnke_Marcel_Bök_Karl_2019, place={Valencia, Spain}, title={Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario}, DOI={10.1109/eucnc.2019.8802016}, booktitle={European Conference on Networks and Communications (EuCNC)}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Peuster, Manuel and Behnke, Daniel and Marcel, Müller and Bök, Patrick-Benjamin and Karl, Holger}, year={2019} }","chicago":"Schneider, Stefan Balthasar, Manuel Peuster, Daniel Behnke, Müller Marcel, Patrick-Benjamin Bök, and Holger Karl. “Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario.” In European Conference on Networks and Communications (EuCNC). Valencia, Spain: IEEE, 2019. https://doi.org/10.1109/eucnc.2019.8802016.","ama":"Schneider SB, Peuster M, Behnke D, Marcel M, Bök P-B, Karl H. Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario. In: European Conference on Networks and Communications (EuCNC). Valencia, Spain: IEEE; 2019. doi:10.1109/eucnc.2019.8802016","apa":"Schneider, S. B., Peuster, M., Behnke, D., Marcel, M., Bök, P.-B., & Karl, H. (2019). Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario. In European Conference on Networks and Communications (EuCNC). Valencia, Spain: IEEE. https://doi.org/10.1109/eucnc.2019.8802016"},"type":"conference","year":"2019","_id":"9270","department":[{"_id":"75"}],"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C4","_id":"16"},{"_id":"28","name":"5G Development and validation platform for global industry-specific network services and Apps","grant_number":"761493"}],"place":"Valencia, Spain","title":"Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario","language":[{"iso":"eng"}],"date_updated":"2022-01-06T07:04:12Z","doi":"10.1109/eucnc.2019.8802016","oa":"1"},{"file":[{"relation":"main_file","content_type":"application/pdf","date_updated":"2019-02-26T18:09:43Z","creator":"peuster","file_id":"8114","file_size":232599,"access_level":"open_access","file_name":"main_for_ris.pdf","date_created":"2019-02-26T18:09:43Z"}],"author":[{"last_name":"Peuster","id":"13271","first_name":"Manuel","full_name":"Peuster, Manuel"},{"first_name":"Christian","full_name":"Dröge, Christian","last_name":"Dröge"},{"last_name":"Boos","full_name":"Boos, Clemens","first_name":"Clemens"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"publisher":"Elsevier BV","publication":"ICT Express","file_date_updated":"2019-02-26T18:09:43Z","status":"public","has_accepted_license":"1","date_created":"2019-02-26T18:07:33Z","abstract":[{"lang":"eng","text":"The ongoing softwarization of networks creates a big need for automated testing solutions to ensure service quality. This becomes even more important if agile environments with short time to market and high demands, in terms of service performance and availability, are considered.\r\nIn this paper, we introduce a novel testing solution for virtualized, microservice-based network functions and services, which we base on TTCN-3, a well known testing language defined by the European standards institute (ETSI). We use TTCN-3 not only for functional testing but also answer the question whether TTCN-3 can be used for performance profiling tasks as well. Finally, we demonstrate the proposed concepts and solutions in a case study using our open-source prototype to test and profile a chained network service."}],"user_id":"477","ddc":["000"],"main_file_link":[{"url":"https://www.sciencedirect.com/science/article/pii/S2405959519300402","open_access":"1"}],"type":"journal_article","year":"2019","citation":{"apa":"Peuster, M., Dröge, C., Boos, C., & Karl, H. (2019). Joint testing and profiling of microservice-based network services using TTCN-3. ICT Express. https://doi.org/10.1016/j.icte.2019.02.001","ama":"Peuster M, Dröge C, Boos C, Karl H. Joint testing and profiling of microservice-based network services using TTCN-3. ICT Express. 2019. doi:10.1016/j.icte.2019.02.001","chicago":"Peuster, Manuel, Christian Dröge, Clemens Boos, and Holger Karl. “Joint Testing and Profiling of Microservice-Based Network Services Using TTCN-3.” ICT Express, 2019. https://doi.org/10.1016/j.icte.2019.02.001.","mla":"Peuster, Manuel, et al. “Joint Testing and Profiling of Microservice-Based Network Services Using TTCN-3.” ICT Express, Elsevier BV, 2019, doi:10.1016/j.icte.2019.02.001.","bibtex":"@article{Peuster_Dröge_Boos_Karl_2019, title={Joint testing and profiling of microservice-based network services using TTCN-3}, DOI={10.1016/j.icte.2019.02.001}, journal={ICT Express}, publisher={Elsevier BV}, author={Peuster, Manuel and Dröge, Christian and Boos, Clemens and Karl, Holger}, year={2019} }","short":"M. Peuster, C. Dröge, C. Boos, H. Karl, ICT Express (2019).","ieee":"M. Peuster, C. Dröge, C. Boos, and H. Karl, “Joint testing and profiling of microservice-based network services using TTCN-3,” ICT Express, 2019."},"_id":"8113","department":[{"_id":"75"}],"project":[{"name":"SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"},{"grant_number":"761493","name":"5G Development and validation platform for global industry-specific network services and Apps","_id":"28"}],"publication_identifier":{"issn":["2405-9595"]},"publication_status":"published","title":"Joint testing and profiling of microservice-based network services using TTCN-3","language":[{"iso":"eng"}],"date_updated":"2022-01-06T07:03:51Z","oa":"1","doi":"10.1016/j.icte.2019.02.001"},{"department":[{"_id":"75"}],"publication":"5th IEEE International Conference on Network Softwarization (NetSoft) 2019","author":[{"last_name":"Dräxler","id":"31764","first_name":"Sevil","full_name":"Dräxler, Sevil"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"publication_status":"accepted","date_created":"2019-03-04T09:23:54Z","project":[{"name":"5G Programmable Infrastructure Converging disaggregated neTwork and compUte Resources","grant_number":"762057","_id":"23"},{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"status":"public","title":"SPRING: Scaling, Placement, and Routing of Heterogeneous Services with Flexible Structures","user_id":"31764","type":"conference","citation":{"mla":"Dräxler, Sevil, and Holger Karl. “SPRING: Scaling, Placement, and Routing of Heterogeneous Services with Flexible Structures.” 5th IEEE International Conference on Network Softwarization (NetSoft) 2019.","bibtex":"@inproceedings{Dräxler_Karl, title={SPRING: Scaling, Placement, and Routing of Heterogeneous Services with Flexible Structures}, booktitle={5th IEEE International Conference on Network Softwarization (NetSoft) 2019}, author={Dräxler, Sevil and Karl, Holger} }","ama":"Dräxler S, Karl H. SPRING: Scaling, Placement, and Routing of Heterogeneous Services with Flexible Structures. In: 5th IEEE International Conference on Network Softwarization (NetSoft) 2019.","apa":"Dräxler, S., & Karl, H. (n.d.). SPRING: Scaling, Placement, and Routing of Heterogeneous Services with Flexible Structures. In 5th IEEE International Conference on Network Softwarization (NetSoft) 2019. Paris.","chicago":"Dräxler, Sevil, and Holger Karl. “SPRING: Scaling, Placement, and Routing of Heterogeneous Services with Flexible Structures.” In 5th IEEE International Conference on Network Softwarization (NetSoft) 2019, n.d.","ieee":"S. Dräxler and H. Karl, “SPRING: Scaling, Placement, and Routing of Heterogeneous Services with Flexible Structures,” in 5th IEEE International Conference on Network Softwarization (NetSoft) 2019, Paris.","short":"S. Dräxler, H. Karl, in: 5th IEEE International Conference on Network Softwarization (NetSoft) 2019, n.d."},"year":"2019","language":[{"iso":"eng"}],"conference":{"end_date":"2019-06-28","name":"5th IEEE International Conference on Network Softwarization (NetSoft) 2019","start_date":"2019-06-24","location":"Paris"},"date_updated":"2022-01-06T07:03:52Z","_id":"8240"},{"language":[{"iso":"eng"}],"oa":"1","doi":"10.1109/NETSOFT.2019.8806685","date_updated":"2022-01-06T07:04:01Z","project":[{"grant_number":"761493","name":"5G Development and validation platform for global industry-specific network services and Apps","_id":"28"},{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"department":[{"_id":"75"}],"title":"Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing Case","place":"Paris","year":"2019","type":"conference","citation":{"bibtex":"@inproceedings{Peuster_Schneider_Behnke_Müller_Bök_Karl_2019, place={Paris}, title={Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing Case}, DOI={10.1109/NETSOFT.2019.8806685}, booktitle={5th IEEE International Conference on Network Softwarization (NetSoft 2019)}, author={Peuster, Manuel and Schneider, Stefan Balthasar and Behnke, Daniel and Müller, Marcel and Bök, Patrick-Benjamin and Karl, Holger}, year={2019} }","mla":"Peuster, Manuel, et al. “Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing Case.” 5th IEEE International Conference on Network Softwarization (NetSoft 2019), 2019, doi:10.1109/NETSOFT.2019.8806685.","chicago":"Peuster, Manuel, Stefan Balthasar Schneider, Daniel Behnke, Marcel Müller, Patrick-Benjamin Bök, and Holger Karl. “Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing Case.” In 5th IEEE International Conference on Network Softwarization (NetSoft 2019). Paris, 2019. https://doi.org/10.1109/NETSOFT.2019.8806685.","ama":"Peuster M, Schneider SB, Behnke D, Müller M, Bök P-B, Karl H. Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing Case. In: 5th IEEE International Conference on Network Softwarization (NetSoft 2019). Paris; 2019. doi:10.1109/NETSOFT.2019.8806685","apa":"Peuster, M., Schneider, S. B., Behnke, D., Müller, M., Bök, P.-B., & Karl, H. (2019). Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing Case. In 5th IEEE International Conference on Network Softwarization (NetSoft 2019). Paris. https://doi.org/10.1109/NETSOFT.2019.8806685","ieee":"M. Peuster, S. B. Schneider, D. Behnke, M. Müller, P.-B. Bök, and H. Karl, “Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing Case,” in 5th IEEE International Conference on Network Softwarization (NetSoft 2019), Paris, 2019.","short":"M. Peuster, S.B. Schneider, D. Behnke, M. Müller, P.-B. Bök, H. Karl, in: 5th IEEE International Conference on Network Softwarization (NetSoft 2019), Paris, 2019."},"main_file_link":[{"url":"https://doi.org/10.1109/NETSOFT.2019.8806685"}],"_id":"8792","conference":{"name":"5th IEEE International Conference on Network Softwarization (NetSoft 2019)","start_date":"2019-06-24","location":"Paris","end_date":"2019-06-28"},"has_accepted_license":"1","status":"public","date_created":"2019-04-01T13:37:05Z","file":[{"file_name":"main_for_ris.pdf","date_created":"2019-04-01T13:46:18Z","access_level":"open_access","file_id":"8794","creator":"peuster","file_size":1693793,"relation":"main_file","date_updated":"2019-04-01T13:46:18Z","content_type":"application/pdf"}],"author":[{"id":"13271","last_name":"Peuster","full_name":"Peuster, Manuel","first_name":"Manuel"},{"id":"35343","last_name":"Schneider","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","first_name":"Stefan Balthasar"},{"last_name":"Behnke","full_name":"Behnke, Daniel","first_name":"Daniel"},{"first_name":"Marcel","full_name":"Müller, Marcel","last_name":"Müller"},{"first_name":"Patrick-Benjamin","full_name":"Bök, Patrick-Benjamin","last_name":"Bök"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"}],"file_date_updated":"2019-04-01T13:46:18Z","publication":"5th IEEE International Conference on Network Softwarization (NetSoft 2019)","user_id":"13271","ddc":["000"],"abstract":[{"text":"5G together with software defined networking (SDN) and network function virtualisation (NFV) will enable a wide variety of vertical use cases. One of them is the smart man- ufacturing case which utilises 5G networks to interconnect production machines, machine parks, and factory sites to enable new possibilities in terms of flexibility, automation, and novel applications (industry 4.0). However, the availability of realistic and practical proof-of-concepts for those smart manufacturing scenarios is still limited.\r\nThis demo fills this gap by not only showing a real-world smart manufacturing application entirely implemented using NFV concepts, but also a lightweight prototyping framework that simplifies the realisation of vertical NFV proof-of-concepts. Dur- ing the demo, we show how an NFV-based smart manufacturing scenario can be specified, on-boarded, and instantiated before we demonstrate how the presented NFV services simplify machine data collection, aggregation, and analysis.","lang":"eng"}]},{"user_id":"13271","ddc":["000"],"abstract":[{"lang":"eng","text":"Softwarized networks are the key enabler for elastic, on-demand service deployments of virtualized network functions. They allow to dynamically steer traffic\r\nthrough the network when new network functions are instantiated, or old ones\r\nare terminated. These scenarios become in particular challenging when stateful functions are involved, necessitating state management solutions to migrate\r\nstate between the functions. The problem with existing solutions is that they typically embrace state migration and flow rerouting jointly, imposing a huge set\r\nof requirements on the on-boarded virtualized network functions (VNFs), eg,\r\nsolution-specific state management interfaces.\r\nTo change this, we introduce the seamless handover protocol (SHarP). An\r\neasy-to-use, loss-less, and order-preserving flow rerouting mechanism that is\r\nnot fixed to a single state management approach. Using SHarP, VNF vendors\r\nare empowered to implement or use the state management solution of their\r\nchoice. SHarP supports these solutions with additional information when flows\r\nare migrated. In this paper, we present SHarP's design, its open source prototype\r\nimplementation, and show how SHarP significantly reduces the buffer usage at\r\na central (SDN) controller, which is a typical bottleneck in state-of-the-art solutions. Our experiments show that SHarP uses a constant amount of controller\r\nbuffer, irrespective of the time taken to migrate the VNF state."}],"status":"public","has_accepted_license":"1","date_created":"2019-04-01T17:47:36Z","file":[{"content_type":"application/pdf","date_updated":"2019-04-01T18:04:14Z","relation":"main_file","file_size":2571927,"file_id":"8796","creator":"peuster","access_level":"open_access","date_created":"2019-04-01T18:04:14Z","file_name":"main_for_ris.pdf"}],"author":[{"full_name":"Peuster, Manuel","first_name":"Manuel","id":"13271","last_name":"Peuster"},{"first_name":"Hannes","full_name":"Küttner, Hannes","last_name":"Küttner"},{"first_name":"Holger","full_name":"Karl, Holger","last_name":"Karl","id":"126"}],"file_date_updated":"2019-04-01T18:04:14Z","publication":"International Journal of Network Management","article_number":"e2067","_id":"8795","citation":{"ama":"Peuster M, Küttner H, Karl H. A flow handover protocol to support state migration in softwarized networks. International Journal of Network Management. 2019. doi:10.1002/nem.2067","apa":"Peuster, M., Küttner, H., & Karl, H. (2019). A flow handover protocol to support state migration in softwarized networks. International Journal of Network Management. https://doi.org/10.1002/nem.2067","chicago":"Peuster, Manuel, Hannes Küttner, and Holger Karl. “A Flow Handover Protocol to Support State Migration in Softwarized Networks.” International Journal of Network Management, 2019. https://doi.org/10.1002/nem.2067.","mla":"Peuster, Manuel, et al. “A Flow Handover Protocol to Support State Migration in Softwarized Networks.” International Journal of Network Management, e2067, 2019, doi:10.1002/nem.2067.","bibtex":"@article{Peuster_Küttner_Karl_2019, title={A flow handover protocol to support state migration in softwarized networks}, DOI={10.1002/nem.2067}, number={e2067}, journal={International Journal of Network Management}, author={Peuster, Manuel and Küttner, Hannes and Karl, Holger}, year={2019} }","short":"M. Peuster, H. Küttner, H. Karl, International Journal of Network Management (2019).","ieee":"M. Peuster, H. Küttner, and H. Karl, “A flow handover protocol to support state migration in softwarized networks,” International Journal of Network Management, 2019."},"type":"journal_article","year":"2019","main_file_link":[{"url":"https://onlinelibrary.wiley.com/doi/abs/10.1002/nem.2067"}],"title":"A flow handover protocol to support state migration in softwarized networks","project":[{"grant_number":"761493","name":"5G Development and validation platform for global industry-specific network services and Apps","_id":"28"},{"name":"SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"publication_status":"published","publication_identifier":{"issn":["1055-7148","1099-1190"]},"department":[{"_id":"75"}],"oa":"1","doi":"10.1002/nem.2067","date_updated":"2022-01-06T07:04:01Z","language":[{"iso":"eng"}]},{"title":"Empowering Network Service Developers: Enhanced NFV DevOps and Programmable MANO","user_id":"13271","department":[{"_id":"75"}],"publication":"IEEE Communications Magazine","author":[{"last_name":"Soenen","full_name":"Soenen, Thomas","first_name":"Thomas"},{"last_name":"Tavernier","full_name":"Tavernier, Wouter","first_name":"Wouter"},{"last_name":"Peuster","id":"13271","first_name":"Manuel","full_name":"Peuster, Manuel"},{"first_name":"Felipe","full_name":"Vicens, Felipe","last_name":"Vicens"},{"first_name":"George","full_name":"Xilouris, George","last_name":"Xilouris"},{"first_name":"Stavros","full_name":"Kolometsos, Stavros","last_name":"Kolometsos"},{"full_name":"Kourtis, Michail-Alexandros","first_name":"Michail-Alexandros","last_name":"Kourtis"},{"full_name":"Colle, Didier","first_name":"Didier","last_name":"Colle"}],"publication_identifier":{"issn":["0163-6804","1558-1896"]},"publication_status":"published","date_created":"2019-05-16T09:07:19Z","project":[{"grant_number":"761493","name":"5G Development and validation platform for global industry-specific network services and Apps","_id":"28"}],"status":"public","date_updated":"2022-01-06T07:04:22Z","_id":"9823","doi":"10.1109/mcom.2019.1800810","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/8713806"}],"page":"89-95","type":"journal_article","year":"2019","citation":{"ieee":"T. Soenen et al., “Empowering Network Service Developers: Enhanced NFV DevOps and Programmable MANO,” IEEE Communications Magazine, pp. 89–95, 2019.","short":"T. Soenen, W. Tavernier, M. Peuster, F. Vicens, G. Xilouris, S. Kolometsos, M.-A. Kourtis, D. Colle, IEEE Communications Magazine (2019) 89–95.","bibtex":"@article{Soenen_Tavernier_Peuster_Vicens_Xilouris_Kolometsos_Kourtis_Colle_2019, title={Empowering Network Service Developers: Enhanced NFV DevOps and Programmable MANO}, DOI={10.1109/mcom.2019.1800810}, journal={IEEE Communications Magazine}, author={Soenen, Thomas and Tavernier, Wouter and Peuster, Manuel and Vicens, Felipe and Xilouris, George and Kolometsos, Stavros and Kourtis, Michail-Alexandros and Colle, Didier}, year={2019}, pages={89–95} }","mla":"Soenen, Thomas, et al. “Empowering Network Service Developers: Enhanced NFV DevOps and Programmable MANO.” IEEE Communications Magazine, 2019, pp. 89–95, doi:10.1109/mcom.2019.1800810.","chicago":"Soenen, Thomas, Wouter Tavernier, Manuel Peuster, Felipe Vicens, George Xilouris, Stavros Kolometsos, Michail-Alexandros Kourtis, and Didier Colle. “Empowering Network Service Developers: Enhanced NFV DevOps and Programmable MANO.” IEEE Communications Magazine, 2019, 89–95. https://doi.org/10.1109/mcom.2019.1800810.","apa":"Soenen, T., Tavernier, W., Peuster, M., Vicens, F., Xilouris, G., Kolometsos, S., … Colle, D. (2019). Empowering Network Service Developers: Enhanced NFV DevOps and Programmable MANO. IEEE Communications Magazine, 89–95. https://doi.org/10.1109/mcom.2019.1800810","ama":"Soenen T, Tavernier W, Peuster M, et al. Empowering Network Service Developers: Enhanced NFV DevOps and Programmable MANO. IEEE Communications Magazine. 2019:89-95. doi:10.1109/mcom.2019.1800810"},"language":[{"iso":"eng"}]},{"title":"Introducing Automated Verification and Validation for Virtualized Network Functions and Services","department":[{"_id":"75"}],"publication_status":"published","publication_identifier":{"issn":["0163-6804","1558-1896"]},"project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"date_updated":"2022-01-06T07:04:23Z","doi":"10.1109/mcom.2019.1800873","oa":"1","language":[{"iso":"eng"}],"ddc":["000"],"user_id":"13271","publication":"IEEE Communications Magazine","file_date_updated":"2019-05-16T09:13:40Z","author":[{"first_name":"Manuel","full_name":"Peuster, Manuel","last_name":"Peuster","id":"13271"},{"first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011","last_name":"Schneider","id":"35343"},{"last_name":"Zhao","first_name":"Mengxuan","full_name":"Zhao, Mengxuan"},{"full_name":"Xilouris, George","first_name":"George","last_name":"Xilouris"},{"last_name":"Trakadas","first_name":"Panagiotis","full_name":"Trakadas, Panagiotis"},{"last_name":"Vicens","full_name":"Vicens, Felipe","first_name":"Felipe"},{"last_name":"Tavernier","full_name":"Tavernier, Wouter","first_name":"Wouter"},{"last_name":"Soenen","full_name":"Soenen, Thomas","first_name":"Thomas"},{"last_name":"Vilalta","full_name":"Vilalta, Ricard","first_name":"Ricard"},{"last_name":"Andreou","full_name":"Andreou, George","first_name":"George"},{"last_name":"Kyriazis","full_name":"Kyriazis, Dimosthenis","first_name":"Dimosthenis"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"}],"file":[{"file_size":1735036,"creator":"peuster","file_id":"9825","title":"Introducing Automated Verification and Validation for Virtualized Network Functions and Services","content_type":"application/pdf","date_updated":"2019-05-16T09:13:40Z","relation":"main_file","description":"Preprint of original article: M. Peuster et al., \"Introducing Automated Verification and Validation for Virtualized Network Functions and Services,\" in IEEE Communications Magazine, vol. 57, no. 5, pp. 96-102, May 2019.\ndoi: 10.1109/MCOM.2019.1800873\n\n","file_name":"main_for_ris.pdf","date_created":"2019-05-16T09:13:40Z","access_level":"open_access"}],"date_created":"2019-05-16T09:09:16Z","status":"public","has_accepted_license":"1","_id":"9824","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/8713807"}],"page":"96-102","type":"journal_article","year":"2019","citation":{"mla":"Peuster, Manuel, et al. “Introducing Automated Verification and Validation for Virtualized Network Functions and Services.” IEEE Communications Magazine, 2019, pp. 96–102, doi:10.1109/mcom.2019.1800873.","bibtex":"@article{Peuster_Schneider_Zhao_Xilouris_Trakadas_Vicens_Tavernier_Soenen_Vilalta_Andreou_et al._2019, title={Introducing Automated Verification and Validation for Virtualized Network Functions and Services}, DOI={10.1109/mcom.2019.1800873}, journal={IEEE Communications Magazine}, author={Peuster, Manuel and Schneider, Stefan Balthasar and Zhao, Mengxuan and Xilouris, George and Trakadas, Panagiotis and Vicens, Felipe and Tavernier, Wouter and Soenen, Thomas and Vilalta, Ricard and Andreou, George and et al.}, year={2019}, pages={96–102} }","chicago":"Peuster, Manuel, Stefan Balthasar Schneider, Mengxuan Zhao, George Xilouris, Panagiotis Trakadas, Felipe Vicens, Wouter Tavernier, et al. “Introducing Automated Verification and Validation for Virtualized Network Functions and Services.” IEEE Communications Magazine, 2019, 96–102. https://doi.org/10.1109/mcom.2019.1800873.","ama":"Peuster M, Schneider SB, Zhao M, et al. Introducing Automated Verification and Validation for Virtualized Network Functions and Services. IEEE Communications Magazine. 2019:96-102. doi:10.1109/mcom.2019.1800873","apa":"Peuster, M., Schneider, S. B., Zhao, M., Xilouris, G., Trakadas, P., Vicens, F., … Karl, H. (2019). Introducing Automated Verification and Validation for Virtualized Network Functions and Services. IEEE Communications Magazine, 96–102. https://doi.org/10.1109/mcom.2019.1800873","ieee":"M. Peuster et al., “Introducing Automated Verification and Validation for Virtualized Network Functions and Services,” IEEE Communications Magazine, pp. 96–102, 2019.","short":"M. Peuster, S.B. Schneider, M. Zhao, G. Xilouris, P. Trakadas, F. Vicens, W. Tavernier, T. Soenen, R. Vilalta, G. Andreou, D. Kyriazis, H. Karl, IEEE Communications Magazine (2019) 96–102."}},{"has_accepted_license":"1","status":"public","date_created":"2019-01-17T15:51:34Z","publisher":"IEEE","author":[{"first_name":"Haitham","full_name":"Afifi, Haitham","last_name":"Afifi","id":"65718"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"file_date_updated":"2019-01-17T15:49:37Z","publication":"2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC2019)","file":[{"date_updated":"2019-01-17T15:49:37Z","content_type":"application/pdf","relation":"main_file","file_size":320283,"file_id":"6861","creator":"hafifi","access_level":"open_access","file_name":"globecom.pdf","date_created":"2019-01-17T15:49:37Z"}],"ddc":["000"],"user_id":"65718","citation":{"mla":"Afifi, Haitham, and Holger Karl. “Power Allocation with a Wireless Multi-Cast Aware Routing for Virtual Network Embedding.” 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC2019), IEEE.","bibtex":"@inproceedings{Afifi_Karl, place={Las Vegas}, title={Power Allocation with a Wireless Multi-cast Aware Routing for Virtual Network Embedding}, booktitle={2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC2019)}, publisher={IEEE}, author={Afifi, Haitham and Karl, Holger} }","chicago":"Afifi, Haitham, and Holger Karl. “Power Allocation with a Wireless Multi-Cast Aware Routing for Virtual Network Embedding.” In 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC2019). Las Vegas: IEEE, n.d.","apa":"Afifi, H., & Karl, H. (n.d.). Power Allocation with a Wireless Multi-cast Aware Routing for Virtual Network Embedding. In 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC2019). Las Vegas: IEEE.","ama":"Afifi H, Karl H. Power Allocation with a Wireless Multi-cast Aware Routing for Virtual Network Embedding. In: 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC2019). Las Vegas: IEEE.","ieee":"H. Afifi and H. Karl, “Power Allocation with a Wireless Multi-cast Aware Routing for Virtual Network Embedding,” in 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC2019).","short":"H. Afifi, H. Karl, in: 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC2019), IEEE, Las Vegas, n.d."},"year":"2019","type":"conference","_id":"6860","publication_status":"accepted","project":[{"_id":"27","name":"Akustische Sensornetzwerke - Teilprojekt "},{"_id":"27","name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke"}],"department":[{"_id":"75"}],"title":"Power Allocation with a Wireless Multi-cast Aware Routing for Virtual Network Embedding","place":"Las Vegas","language":[{"iso":"eng"}],"oa":"1","date_updated":"2022-01-06T07:03:22Z"},{"_id":"12880","date_updated":"2022-01-06T06:51:22Z","language":[{"iso":"eng"}],"citation":{"mla":"Guenther, Michael, et al. “Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks.” 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019), 2019.","bibtex":"@inproceedings{Guenther_Afifi_Brendel_Karl_Kellermann_2019, place={New Paltz, USA}, title={Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks}, booktitle={2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019)}, author={Guenther, Michael and Afifi, Haitham and Brendel, Andreas and Karl, Holger and Kellermann, Walter}, year={2019} }","apa":"Guenther, M., Afifi, H., Brendel, A., Karl, H., & Kellermann, W. (2019). Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks. In 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019). New Paltz, USA.","ama":"Guenther M, Afifi H, Brendel A, Karl H, Kellermann W. Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks. In: 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019). New Paltz, USA; 2019.","chicago":"Guenther, Michael, Haitham Afifi, Andreas Brendel, Holger Karl, and Walter Kellermann. “Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks.” In 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019). New Paltz, USA, 2019.","ieee":"M. Guenther, H. Afifi, A. Brendel, H. Karl, and W. Kellermann, “Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks,” in 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019), 2019.","short":"M. Guenther, H. Afifi, A. Brendel, H. Karl, W. Kellermann, in: 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019), New Paltz, USA, 2019."},"type":"conference","year":"2019","place":"New Paltz, USA","abstract":[{"lang":"eng","text":"By distributing the computational load over the nodes of a Wireless Acoustic Sensor Network (WASN), the real-time capability of the TRINICON (TRIple-N-Independent component analysis for CONvolutive mixtures) framework for Blind Source Separation (BSS) can be ensured, even if the individual network nodes are not powerful enough to run TRINICON in real-time by themselves. To optimally utilize the limited computing power and data rate in WASNs, the MARVELO (Multicast-Aware Routing for Virtual network Embedding with Loops in Overlays) framework is expanded for use with TRINICON, while a feature-based selection scheme is proposed to exploit the most beneficial parts of the input signal for adapting the demixing system. The simulation results of realistic scenarios show only a minor degradation of the separation performance even in heavily resource-limited situations."}],"user_id":"65718","title":"Sparse Adaptation of Distributed Blind Source Separation in Acoustic Sensor Networks","author":[{"last_name":"Guenther","first_name":"Michael","full_name":"Guenther, Michael"},{"full_name":"Afifi, Haitham","first_name":"Haitham","id":"65718","last_name":"Afifi"},{"last_name":"Brendel","first_name":"Andreas","full_name":"Brendel, Andreas"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"},{"last_name":"Kellermann","full_name":"Kellermann, Walter","first_name":"Walter"}],"publication":"2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (WASPAA 2019)","department":[{"_id":"75"}],"status":"public","project":[{"name":"Akustische Sensornetzwerke - Teilprojekt ","_id":"27"},{"_id":"27","name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke"}],"date_created":"2019-07-24T07:25:01Z"},{"status":"public","date_created":"2019-07-24T07:25:28Z","project":[{"name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke","_id":"27"}],"author":[{"first_name":"Haitham","full_name":"Afifi, Haitham","last_name":"Afifi","id":"65718"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"department":[{"_id":"75"}],"publication":"2019 12th IFIP Wireless and Mobile Networking Conference (WMNC) (WMNC'19)","title":"An Approximate Power Control Algorithm for a Multi-Cast Wireless Virtual Network Embedding","user_id":"65718","place":"Paris, France","abstract":[{"lang":"eng","text":"Internet of Things (IoT) applications witness an exceptional evolution of traffic demands, while existing protocols, as seen in wireless sensor networks (WSNs), struggle to cope with these demands. Traditional protocols rely on finding a routing path between sensors generating data and sinks acting as gateway or databases. Meanwhile, the network will suffer from high collisions in case of high data rates. In this context, in-network processing solutions are used to leverage the wireless nodes' computations, by distributing processing tasks on the nodes along the routing path. Although in-network processing solutions are very popular in wired networks (e.g., data centers and wide area networks), there are many challenges to adopt these solutions in wireless networks, due to the interference problem. In this paper, we solve the problem of routing and task distribution jointly using a greedy Virtual Network Embedding (VNE) algorithm, and consider power control as well. Through simulations, we compare the proposed algorithm to optimal solutions and show that it achieves good results in terms of delay. Moreover, we discuss its sub-optimality by driving tight lower bounds and loose upper bounds. We also compare our solution with another wireless VNE solution to show the trade-off between delay and symbol error rate."}],"year":"2019","citation":{"ieee":"H. Afifi and H. Karl, “An Approximate Power Control Algorithm for a Multi-Cast Wireless Virtual Network Embedding,” in 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC) (WMNC’19), 2019.","short":"H. Afifi, H. Karl, in: 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC) (WMNC’19), Paris, France, 2019.","mla":"Afifi, Haitham, and Holger Karl. “An Approximate Power Control Algorithm for a Multi-Cast Wireless Virtual Network Embedding.” 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC) (WMNC’19), 2019.","bibtex":"@inproceedings{Afifi_Karl_2019, place={Paris, France}, title={An Approximate Power Control Algorithm for a Multi-Cast Wireless Virtual Network Embedding}, booktitle={2019 12th IFIP Wireless and Mobile Networking Conference (WMNC) (WMNC’19)}, author={Afifi, Haitham and Karl, Holger}, year={2019} }","ama":"Afifi H, Karl H. An Approximate Power Control Algorithm for a Multi-Cast Wireless Virtual Network Embedding. In: 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC) (WMNC’19). Paris, France; 2019.","apa":"Afifi, H., & Karl, H. (2019). An Approximate Power Control Algorithm for a Multi-Cast Wireless Virtual Network Embedding. In 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC) (WMNC’19). Paris, France.","chicago":"Afifi, Haitham, and Holger Karl. “An Approximate Power Control Algorithm for a Multi-Cast Wireless Virtual Network Embedding.” In 2019 12th IFIP Wireless and Mobile Networking Conference (WMNC) (WMNC’19). Paris, France, 2019."},"type":"conference","language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:51:22Z","_id":"12881"},{"status":"public","has_accepted_license":"1","date_created":"2019-07-24T07:28:45Z","file":[{"date_created":"2021-01-30T12:39:43Z","file_name":"demo.pdf","access_level":"open_access","file_size":102976,"file_id":"21113","creator":"hafifi","date_updated":"2021-01-30T12:42:31Z","content_type":"application/pdf","relation":"main_file"}],"author":[{"last_name":"Afifi","id":"65718","first_name":"Haitham","full_name":"Afifi, Haitham"},{"first_name":"Holger","full_name":"Karl, Holger","last_name":"Karl","id":"126"},{"first_name":"Sebastian","full_name":"Eikenberg, Sebastian","last_name":"Eikenberg"},{"last_name":"Mueller","first_name":"Arnold","full_name":"Mueller, Arnold"},{"last_name":"Gansel","first_name":"Lars","full_name":"Gansel, Lars"},{"first_name":"Alexander","full_name":"Makejkin, Alexander","last_name":"Makejkin"},{"full_name":"Hannemann, Kai","first_name":"Kai","last_name":"Hannemann"},{"first_name":"Rafael","full_name":"Schellenberg, Rafael","last_name":"Schellenberg"}],"publication":"2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo)","keyword":["WSN","virtualization","VNE"],"file_date_updated":"2021-01-30T12:42:31Z","user_id":"65718","ddc":["006"],"abstract":[{"lang":"eng","text":"One of the major challenges in implementing wireless virtualization is the resource discovery. This is particularly important for the embedding-algorithms that are used to distribute the tasks to nodes. MARVELO is a prototype framework for executing different distributed algorithms on the top of a wireless (802.11) ad-hoc network. The aim of MARVELO is to select the nodes for running the algorithms and to define the routing between the nodes. Hence, it also supports monitoring functionalities to collect information about the available resources and to assist in profiling the algorithms. The objective of this demo is to show how MAVRLEO distributes tasks in an ad-hoc network, based on a feedback from our monitoring tool. Additionally, we explain the work-flow, composition and execution of the framework."}],"type":"conference","citation":{"mla":"Afifi, Haitham, et al. “A Rapid Prototyping for Wireless Virtual Network Embedding Using MARVELO.” 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo), 2019.","bibtex":"@inproceedings{Afifi_Karl_Eikenberg_Mueller_Gansel_Makejkin_Hannemann_Schellenberg_2019, place={Marrakech, Morocco}, title={A Rapid Prototyping for Wireless Virtual Network Embedding using MARVELO}, booktitle={2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo)}, author={Afifi, Haitham and Karl, Holger and Eikenberg, Sebastian and Mueller, Arnold and Gansel, Lars and Makejkin, Alexander and Hannemann, Kai and Schellenberg, Rafael}, year={2019} }","ama":"Afifi H, Karl H, Eikenberg S, et al. A Rapid Prototyping for Wireless Virtual Network Embedding using MARVELO. In: 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo). Marrakech, Morocco; 2019.","apa":"Afifi, H., Karl, H., Eikenberg, S., Mueller, A., Gansel, L., Makejkin, A., … Schellenberg, R. (2019). A Rapid Prototyping for Wireless Virtual Network Embedding using MARVELO. In 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo). Marrakech, Morocco.","chicago":"Afifi, Haitham, Holger Karl, Sebastian Eikenberg, Arnold Mueller, Lars Gansel, Alexander Makejkin, Kai Hannemann, and Rafael Schellenberg. “A Rapid Prototyping for Wireless Virtual Network Embedding Using MARVELO.” In 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo). Marrakech, Morocco, 2019.","ieee":"H. Afifi et al., “A Rapid Prototyping for Wireless Virtual Network Embedding using MARVELO,” in 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo), 2019.","short":"H. Afifi, H. Karl, S. Eikenberg, A. Mueller, L. Gansel, A. Makejkin, K. Hannemann, R. Schellenberg, in: 2019 IEEE Wireless Communications and Networking Conference (WCNC) (IEEE WCNC 2019) (Demo), Marrakech, Morocco, 2019."},"year":"2019","_id":"12882","project":[{"name":"Akustische Sensornetzwerke - Teilprojekt ","_id":"27"}],"department":[{"_id":"75"}],"title":"A Rapid Prototyping for Wireless Virtual Network Embedding using MARVELO","place":"Marrakech, Morocco","language":[{"iso":"eng"}],"oa":"1","date_updated":"2022-01-06T06:51:22Z"},{"project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C4","_id":"16"},{"name":"5G Development and validation platform for global industry-specific network services and Apps","grant_number":"761493","_id":"28"}],"date_created":"2019-12-18T07:27:24Z","status":"public","department":[{"_id":"75"}],"publication":"IEEE 17th International Conference on Industrial Informatics (IEEE-INDIN)","publisher":"IEEE","author":[{"first_name":"Marcel","full_name":"Müller, Marcel","last_name":"Müller"},{"last_name":"Behnke","first_name":"Daniel","full_name":"Behnke, Daniel"},{"last_name":"Bök","full_name":"Bök, Patrick-Benjamin","first_name":"Patrick-Benjamin"},{"full_name":"Peuster, Manuel","first_name":"Manuel","id":"13271","last_name":"Peuster"},{"id":"35343","last_name":"Schneider","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011","first_name":"Stefan Balthasar"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"title":"5G as Key Technology for Networked Factories: Application of Vertical-specific Network Services for Enabling Flexible Smart Manufacturing","user_id":"13271","place":"Helsinki","citation":{"ieee":"M. Müller, D. Behnke, P.-B. Bök, M. Peuster, S. B. Schneider, and H. Karl, “5G as Key Technology for Networked Factories: Application of Vertical-specific Network Services for Enabling Flexible Smart Manufacturing,” in IEEE 17th International Conference on Industrial Informatics (IEEE-INDIN), 2019.","short":"M. Müller, D. Behnke, P.-B. Bök, M. Peuster, S.B. Schneider, H. Karl, in: IEEE 17th International Conference on Industrial Informatics (IEEE-INDIN), IEEE, Helsinki, 2019.","mla":"Müller, Marcel, et al. “5G as Key Technology for Networked Factories: Application of Vertical-Specific Network Services for Enabling Flexible Smart Manufacturing.” IEEE 17th International Conference on Industrial Informatics (IEEE-INDIN), IEEE, 2019.","bibtex":"@inproceedings{Müller_Behnke_Bök_Peuster_Schneider_Karl_2019, place={Helsinki}, title={5G as Key Technology for Networked Factories: Application of Vertical-specific Network Services for Enabling Flexible Smart Manufacturing}, booktitle={IEEE 17th International Conference on Industrial Informatics (IEEE-INDIN)}, publisher={IEEE}, author={Müller, Marcel and Behnke, Daniel and Bök, Patrick-Benjamin and Peuster, Manuel and Schneider, Stefan Balthasar and Karl, Holger}, year={2019} }","ama":"Müller M, Behnke D, Bök P-B, Peuster M, Schneider SB, Karl H. 5G as Key Technology for Networked Factories: Application of Vertical-specific Network Services for Enabling Flexible Smart Manufacturing. In: IEEE 17th International Conference on Industrial Informatics (IEEE-INDIN). Helsinki: IEEE; 2019.","apa":"Müller, M., Behnke, D., Bök, P.-B., Peuster, M., Schneider, S. B., & Karl, H. (2019). 5G as Key Technology for Networked Factories: Application of Vertical-specific Network Services for Enabling Flexible Smart Manufacturing. In IEEE 17th International Conference on Industrial Informatics (IEEE-INDIN). Helsinki: IEEE.","chicago":"Müller, Marcel, Daniel Behnke, Patrick-Benjamin Bök, Manuel Peuster, Stefan Balthasar Schneider, and Holger Karl. “5G as Key Technology for Networked Factories: Application of Vertical-Specific Network Services for Enabling Flexible Smart Manufacturing.” In IEEE 17th International Conference on Industrial Informatics (IEEE-INDIN). Helsinki: IEEE, 2019."},"year":"2019","type":"conference","language":[{"iso":"eng"}],"_id":"15369","date_updated":"2022-01-06T06:52:21Z"},{"language":[{"iso":"eng"}],"oa":"1","date_updated":"2022-01-06T06:52:21Z","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - Subproject C4"},{"_id":"28","name":"5G Development and validation platform for global industry-specific network services and Apps","grant_number":"761493"}],"department":[{"_id":"75"}],"title":"The Softwarised Network Data Zoo","place":"Halifax","citation":{"short":"M. Peuster, S.B. Schneider, H. Karl, in: IEEE/IFIP 15th International Conference on Network and Service Management (CNSM), IEEE/IFIP, Halifax, 2019.","ieee":"M. Peuster, S. B. Schneider, and H. Karl, “The Softwarised Network Data Zoo,” in IEEE/IFIP 15th International Conference on Network and Service Management (CNSM), 2019.","ama":"Peuster M, Schneider SB, Karl H. The Softwarised Network Data Zoo. In: IEEE/IFIP 15th International Conference on Network and Service Management (CNSM). Halifax: IEEE/IFIP; 2019.","apa":"Peuster, M., Schneider, S. B., & Karl, H. (2019). The Softwarised Network Data Zoo. In IEEE/IFIP 15th International Conference on Network and Service Management (CNSM). Halifax: IEEE/IFIP.","chicago":"Peuster, Manuel, Stefan Balthasar Schneider, and Holger Karl. “The Softwarised Network Data Zoo.” In IEEE/IFIP 15th International Conference on Network and Service Management (CNSM). Halifax: IEEE/IFIP, 2019.","mla":"Peuster, Manuel, et al. “The Softwarised Network Data Zoo.” IEEE/IFIP 15th International Conference on Network and Service Management (CNSM), IEEE/IFIP, 2019.","bibtex":"@inproceedings{Peuster_Schneider_Karl_2019, place={Halifax}, title={The Softwarised Network Data Zoo}, booktitle={IEEE/IFIP 15th International Conference on Network and Service Management (CNSM)}, publisher={IEEE/IFIP}, author={Peuster, Manuel and Schneider, Stefan Balthasar and Karl, Holger}, year={2019} }"},"type":"conference","year":"2019","main_file_link":[{"url":"http://dl.ifip.org/db/conf/cnsm/cnsm2019/1570555677.pdf","open_access":"1"}],"_id":"15371","has_accepted_license":"1","status":"public","date_created":"2019-12-18T07:30:45Z","file":[{"file_size":515208,"file_id":"15377","creator":"peuster","content_type":"application/pdf","date_updated":"2019-12-18T08:10:23Z","relation":"main_file","date_created":"2019-12-18T08:10:23Z","file_name":"main_for_ris.pdf","access_level":"open_access"}],"author":[{"first_name":"Manuel","full_name":"Peuster, Manuel","last_name":"Peuster","id":"13271"},{"last_name":"Schneider","id":"35343","first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"publisher":"IEEE/IFIP","publication":"IEEE/IFIP 15th International Conference on Network and Service Management (CNSM)","file_date_updated":"2019-12-18T08:10:23Z","user_id":"13271","ddc":["000"],"abstract":[{"lang":"eng","text":"More and more management and orchestration approaches for (software) networks are based on machine learning paradigms and solutions. These approaches depend not only on their program code to operate properly, but also require enough input data to train their internal models. However, such training data is barely available for the software networking domain and most presented solutions rely on their own, sometimes not even published, data sets. This makes it hard, or even infeasible, to reproduce and compare many of the existing solutions. As a result, it ultimately slows down the adoption of machine learning approaches in softwarised networks. To this end, we introduce the \"softwarised network data zoo\" (SNDZoo), an open collection of software networking data sets aiming to streamline and ease machine learning research in the software networking domain. We present a general methodology to collect, archive, and publish those data sets for use by other researches and, as an example, eight initial data sets, focusing on the performance of virtualised network functions.\r\n"}]},{"user_id":"13271","title":"Reproducible Functional Tests for Multi-scale Network Services","place":"Dallas","project":[{"grant_number":"761493","name":"5G Development and validation platform for global industry-specific network services and Apps","_id":"28"}],"date_created":"2019-12-18T07:36:04Z","status":"public","publication":" IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","department":[{"_id":"75"}],"publisher":"IEEE","author":[{"last_name":"Nuriddinov","full_name":"Nuriddinov, Askhat","first_name":"Askhat"},{"last_name":"Tavernier","first_name":"Wouter","full_name":"Tavernier, Wouter"},{"last_name":"Colle","first_name":"Didier","full_name":"Colle, Didier"},{"last_name":"Pickavet","full_name":"Pickavet, Mario","first_name":"Mario"},{"id":"13271","last_name":"Peuster","full_name":"Peuster, Manuel","first_name":"Manuel"},{"full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011","first_name":"Stefan Balthasar","id":"35343","last_name":"Schneider"}],"_id":"15372","date_updated":"2022-01-06T06:52:21Z","language":[{"iso":"eng"}],"citation":{"bibtex":"@inproceedings{Nuriddinov_Tavernier_Colle_Pickavet_Peuster_Schneider_2019, place={Dallas}, title={Reproducible Functional Tests for Multi-scale Network Services}, booktitle={ IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)}, publisher={IEEE}, author={Nuriddinov, Askhat and Tavernier, Wouter and Colle, Didier and Pickavet, Mario and Peuster, Manuel and Schneider, Stefan Balthasar}, year={2019} }","mla":"Nuriddinov, Askhat, et al. “Reproducible Functional Tests for Multi-Scale Network Services.” IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, 2019.","chicago":"Nuriddinov, Askhat, Wouter Tavernier, Didier Colle, Mario Pickavet, Manuel Peuster, and Stefan Balthasar Schneider. “Reproducible Functional Tests for Multi-Scale Network Services.” In IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE, 2019.","apa":"Nuriddinov, A., Tavernier, W., Colle, D., Pickavet, M., Peuster, M., & Schneider, S. B. (2019). Reproducible Functional Tests for Multi-scale Network Services. In IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE.","ama":"Nuriddinov A, Tavernier W, Colle D, Pickavet M, Peuster M, Schneider SB. Reproducible Functional Tests for Multi-scale Network Services. In: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019.","ieee":"A. Nuriddinov, W. Tavernier, D. Colle, M. Pickavet, M. Peuster, and S. B. Schneider, “Reproducible Functional Tests for Multi-scale Network Services,” in IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2019.","short":"A. Nuriddinov, W. Tavernier, D. Colle, M. Pickavet, M. Peuster, S.B. Schneider, in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas, 2019."},"year":"2019","type":"conference"},{"_id":"15373","type":"conference","year":"2019","citation":{"ieee":"D. Moro, M. Peuster, H. Karl, and A. Capone, “FOP4: Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios,” in IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2019.","short":"D. Moro, M. Peuster, H. Karl, A. Capone, in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas, 2019.","mla":"Moro, Daniele, et al. “FOP4: Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios.” IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, 2019.","bibtex":"@inproceedings{Moro_Peuster_Karl_Capone_2019, place={Dallas}, title={FOP4: Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios}, booktitle={IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)}, publisher={IEEE}, author={Moro, Daniele and Peuster, Manuel and Karl, Holger and Capone, Antonio}, year={2019} }","apa":"Moro, D., Peuster, M., Karl, H., & Capone, A. (2019). FOP4: Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios. In IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE.","ama":"Moro D, Peuster M, Karl H, Capone A. FOP4: Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios. In: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019.","chicago":"Moro, Daniele, Manuel Peuster, Holger Karl, and Antonio Capone. “FOP4: Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios.” In IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE, 2019."},"ddc":["000"],"user_id":"13271","abstract":[{"text":"Offloading packet processing tasks to programmable switches and/or to programmable network interfaces, so called “SmartNICs”, is one of the key concepts to prepare softwarized networks for the high traffic demands of the future. However, implementing network functions that make use of those offload- ing technologies is still challenging and usually requires the availability of specialized hardware. It becomes even harder if heterogeneous services, making use of different offloading and network virtualization technologies, should be developed.\r\nIn this paper, we introduce FOP4 (Function Offloading Pro- totyping with P4), a novel prototyping platform that allows to prototype heterogeneous software network scenarios, including container-based, P4-switch-based, and SmartNIC-based network functions. The presented work substantially extends our existing Containernet platform with the means to prototype offloading scenarios. Besides presenting the platform’s system design, we evaluate its scalability and show that it can run scenarios with more than 64 P4 switch or SmartNIC nodes on a single laptop. Finally, we presented a case study in which we use the presented platform to prototype an extended in-band network telemetry use case.","lang":"eng"}],"date_created":"2019-12-18T07:39:28Z","status":"public","has_accepted_license":"1","file_date_updated":"2019-12-18T08:11:37Z","publication":"IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","author":[{"full_name":"Moro, Daniele","first_name":"Daniele","last_name":"Moro"},{"id":"13271","last_name":"Peuster","full_name":"Peuster, Manuel","first_name":"Manuel"},{"first_name":"Holger","full_name":"Karl, Holger","last_name":"Karl","id":"126"},{"full_name":"Capone, Antonio","first_name":"Antonio","last_name":"Capone"}],"publisher":"IEEE","file":[{"date_created":"2019-12-18T08:11:37Z","file_name":"main_for_ris.pdf","access_level":"open_access","file_size":657216,"file_id":"15378","creator":"peuster","content_type":"application/pdf","date_updated":"2019-12-18T08:11:37Z","relation":"main_file"}],"oa":"1","date_updated":"2022-01-06T06:52:22Z","language":[{"iso":"eng"}],"title":"FOP4: Function Offloading Prototyping in Heterogeneous and Programmable Network Scenarios","place":"Dallas","project":[{"grant_number":"761493","name":"5G Development and validation platform for global industry-specific network services and Apps","_id":"28"},{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"department":[{"_id":"75"}]},{"language":[{"iso":"eng"}],"date_updated":"2022-01-06T06:52:22Z","oa":"1","department":[{"_id":"75"}],"project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"place":"Dallas","title":"Demonstrating FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios","year":"2019","citation":{"mla":"Moro, Daniele, et al. “Demonstrating FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios.” IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, 2019.","bibtex":"@inproceedings{Moro_Peuster_Karl_Capone_2019, place={Dallas}, title={Demonstrating FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios}, booktitle={IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)}, publisher={IEEE}, author={Moro, Daniele and Peuster, Manuel and Karl, Holger and Capone, Antonio}, year={2019} }","apa":"Moro, D., Peuster, M., Karl, H., & Capone, A. (2019). Demonstrating FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios. In IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE.","ama":"Moro D, Peuster M, Karl H, Capone A. Demonstrating FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios. In: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019.","chicago":"Moro, Daniele, Manuel Peuster, Holger Karl, and Antonio Capone. “Demonstrating FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios.” In IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE, 2019.","ieee":"D. Moro, M. Peuster, H. Karl, and A. Capone, “Demonstrating FOP4: A Flexible Platform to Prototype NFV Offloading Scenarios,” in IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2019.","short":"D. Moro, M. Peuster, H. Karl, A. Capone, in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas, 2019."},"type":"conference","_id":"15374","file":[{"file_size":370456,"creator":"peuster","file_id":"15379","content_type":"application/pdf","date_updated":"2019-12-18T08:12:28Z","relation":"main_file","file_name":"main_for_ris.pdf","date_created":"2019-12-18T08:12:28Z","access_level":"open_access"}],"author":[{"last_name":"Moro","first_name":"Daniele","full_name":"Moro, Daniele"},{"id":"13271","last_name":"Peuster","full_name":"Peuster, Manuel","first_name":"Manuel"},{"first_name":"Holger","full_name":"Karl, Holger","last_name":"Karl","id":"126"},{"first_name":"Antonio","full_name":"Capone, Antonio","last_name":"Capone"}],"publisher":"IEEE","publication":"IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","file_date_updated":"2019-12-18T08:12:28Z","status":"public","has_accepted_license":"1","date_created":"2019-12-18T07:41:21Z","abstract":[{"lang":"eng","text":"Emulation platforms supporting Virtual Network Functions (VNFs) allow developers to rapidly prototype network services. None of the available platforms, however, supports experimenting with programmable data planes to enable VNF offloading. In this demonstration, we show FOP4, a flexible platform that provides support for Docker-based VNFs, and VNF offloading, by means of P4-enabled switches. The platform provides interfaces to program the P4 devices and to deploy network functions. We demonstrate FOP4 with two complex example scenarios, demonstrating how developers can exploit data plane programmability to implement network functions."}],"user_id":"13271","ddc":["000"]},{"status":"public","project":[{"name":"5G Development and validation platform for global industry-specific network services and Apps","grant_number":"761493","_id":"28"}],"date_created":"2019-12-18T07:45:20Z","author":[{"first_name":"Marcel","full_name":"Müller, Marcel","last_name":"Müller"},{"last_name":"Behnke","first_name":"Daniel","full_name":"Behnke, Daniel"},{"last_name":"Bök","first_name":"Patrick-Benjamin","full_name":"Bök, Patrick-Benjamin"},{"last_name":"Schneider","id":"35343","first_name":"Stefan Balthasar","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011"},{"first_name":"Manuel","full_name":"Peuster, Manuel","last_name":"Peuster","id":"13271"},{"last_name":"Karl","id":"126","first_name":"Holger","full_name":"Karl, Holger"}],"publisher":"IEEE","department":[{"_id":"75"}],"publication":"IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","user_id":"13271","title":"Putting NFV into Reality: Physical Smart Manufacturing Testbed","place":"Dallas","language":[{"iso":"eng"}],"year":"2019","type":"conference","citation":{"short":"M. Müller, D. Behnke, P.-B. Bök, S.B. Schneider, M. Peuster, H. Karl, in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas, 2019.","ieee":"M. Müller, D. Behnke, P.-B. Bök, S. B. Schneider, M. Peuster, and H. Karl, “Putting NFV into Reality: Physical Smart Manufacturing Testbed,” in IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2019.","chicago":"Müller, Marcel, Daniel Behnke, Patrick-Benjamin Bök, Stefan Balthasar Schneider, Manuel Peuster, and Holger Karl. “Putting NFV into Reality: Physical Smart Manufacturing Testbed.” In IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE, 2019.","apa":"Müller, M., Behnke, D., Bök, P.-B., Schneider, S. B., Peuster, M., & Karl, H. (2019). Putting NFV into Reality: Physical Smart Manufacturing Testbed. In IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE.","ama":"Müller M, Behnke D, Bök P-B, Schneider SB, Peuster M, Karl H. Putting NFV into Reality: Physical Smart Manufacturing Testbed. In: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019.","bibtex":"@inproceedings{Müller_Behnke_Bök_Schneider_Peuster_Karl_2019, place={Dallas}, title={Putting NFV into Reality: Physical Smart Manufacturing Testbed}, booktitle={IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)}, publisher={IEEE}, author={Müller, Marcel and Behnke, Daniel and Bök, Patrick-Benjamin and Schneider, Stefan Balthasar and Peuster, Manuel and Karl, Holger}, year={2019} }","mla":"Müller, Marcel, et al. “Putting NFV into Reality: Physical Smart Manufacturing Testbed.” IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, 2019."},"date_updated":"2022-01-06T06:52:22Z","_id":"15375"},{"language":[{"iso":"eng"}],"type":"conference","citation":{"ieee":"D. Behnke, M. Müller, P.-B. Bök, S. B. Schneider, M. Peuster, and H. Karl, “NFV-driven intrusion detection for smart manufacturing,” in IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2019.","short":"D. Behnke, M. Müller, P.-B. Bök, S.B. Schneider, M. Peuster, H. Karl, in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, Dallas, 2019.","mla":"Behnke, Daniel, et al. “NFV-Driven Intrusion Detection for Smart Manufacturing.” IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), IEEE, 2019.","bibtex":"@inproceedings{Behnke_Müller_Bök_Schneider_Peuster_Karl_2019, place={Dallas}, title={NFV-driven intrusion detection for smart manufacturing}, booktitle={IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)}, publisher={IEEE}, author={Behnke, Daniel and Müller, Marcel and Bök, Patrick-Benjamin and Schneider, Stefan Balthasar and Peuster, Manuel and Karl, Holger}, year={2019} }","chicago":"Behnke, Daniel, Marcel Müller, Patrick-Benjamin Bök, Stefan Balthasar Schneider, Manuel Peuster, and Holger Karl. “NFV-Driven Intrusion Detection for Smart Manufacturing.” In IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE, 2019.","apa":"Behnke, D., Müller, M., Bök, P.-B., Schneider, S. B., Peuster, M., & Karl, H. (2019). NFV-driven intrusion detection for smart manufacturing. In IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE.","ama":"Behnke D, Müller M, Bök P-B, Schneider SB, Peuster M, Karl H. NFV-driven intrusion detection for smart manufacturing. In: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). Dallas: IEEE; 2019."},"year":"2019","date_updated":"2022-01-06T06:52:22Z","_id":"15376","publisher":"IEEE","author":[{"last_name":"Behnke","full_name":"Behnke, Daniel","first_name":"Daniel"},{"first_name":"Marcel","full_name":"Müller, Marcel","last_name":"Müller"},{"first_name":"Patrick-Benjamin","full_name":"Bök, Patrick-Benjamin","last_name":"Bök"},{"first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","last_name":"Schneider","id":"35343"},{"last_name":"Peuster","id":"13271","first_name":"Manuel","full_name":"Peuster, Manuel"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"department":[{"_id":"75"}],"publication":"IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","status":"public","project":[{"_id":"28","name":"5G Development and validation platform for global industry-specific network services and Apps","grant_number":"761493"}],"date_created":"2019-12-18T07:47:17Z","place":"Dallas","user_id":"13271","title":"NFV-driven intrusion detection for smart manufacturing"},{"article_number":"108759","_id":"15741","type":"journal_article","citation":{"chicago":"Leong, Alex S., Arunselvan Ramaswamy, Daniel E. Quevedo, Holger Karl, and Ling Shi. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.” Automatica, 2019. https://doi.org/10.1016/j.automatica.2019.108759.","apa":"Leong, A. S., Ramaswamy, A., Quevedo, D. E., Karl, H., & Shi, L. (2019). Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica. https://doi.org/10.1016/j.automatica.2019.108759","ama":"Leong AS, Ramaswamy A, Quevedo DE, Karl H, Shi L. Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems. Automatica. 2019. doi:10.1016/j.automatica.2019.108759","mla":"Leong, Alex S., et al. “Deep Reinforcement Learning for Wireless Sensor Scheduling in Cyber–Physical Systems.” Automatica, 108759, 2019, doi:10.1016/j.automatica.2019.108759.","bibtex":"@article{Leong_Ramaswamy_Quevedo_Karl_Shi_2019, title={Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems}, DOI={10.1016/j.automatica.2019.108759}, number={108759}, journal={Automatica}, author={Leong, Alex S. and Ramaswamy, Arunselvan and Quevedo, Daniel E. and Karl, Holger and Shi, Ling}, year={2019} }","short":"A.S. Leong, A. Ramaswamy, D.E. Quevedo, H. Karl, L. Shi, Automatica (2019).","ieee":"A. S. Leong, A. Ramaswamy, D. E. Quevedo, H. Karl, and L. Shi, “Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems,” Automatica, 2019."},"year":"2019","user_id":"126","ddc":["000"],"abstract":[{"lang":"eng","text":"\r\nIn many cyber–physical systems, we encounter the problem of remote state estimation of geo- graphically distributed and remote physical processes. This paper studies the scheduling of sensor transmissions to estimate the states of multiple remote, dynamic processes. Information from the different sensors has to be transmitted to a central gateway over a wireless network for monitoring purposes, where typically fewer wireless channels are available than there are processes to be monitored. For effective estimation at the gateway, the sensors need to be scheduled appropriately, i.e., at each time instant one needs to decide which sensors have network access and which ones do not. To address this scheduling problem, we formulate an associated Markov decision process (MDP). This MDP is then solved using a Deep Q-Network, a recent deep reinforcement learning algorithm that is at once scalable and model-free. We compare our scheduling algorithm to popular scheduling algorithms such as round-robin and reduced-waiting-time, among others. Our algorithm is shown to significantly outperform these algorithms for many example scenario"}],"date_created":"2020-01-31T15:55:27Z","has_accepted_license":"1","status":"public","file":[{"access_level":"closed","date_created":"2020-01-31T15:57:50Z","file_name":"leoram20a.pdf","date_updated":"2020-01-31T15:57:50Z","content_type":"application/pdf","success":1,"relation":"main_file","file_size":"675382","creator":"hkarl","file_id":"15743"}],"publication":"Automatica","file_date_updated":"2020-01-31T15:57:50Z","quality_controlled":"1","author":[{"last_name":"Leong","full_name":"Leong, Alex S.","first_name":"Alex S."},{"first_name":"Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111","full_name":"Ramaswamy, Arunselvan","last_name":"Ramaswamy","id":"66937"},{"full_name":"Quevedo, Daniel E.","first_name":"Daniel E.","last_name":"Quevedo"},{"first_name":"Holger","full_name":"Karl, Holger","last_name":"Karl","id":"126"},{"last_name":"Shi","full_name":"Shi, Ling","first_name":"Ling"}],"doi":"10.1016/j.automatica.2019.108759","date_updated":"2022-01-06T06:52:32Z","language":[{"iso":"eng"}],"title":"Deep reinforcement learning for wireless sensor scheduling in cyber–physical systems","project":[{"_id":"24","name":"Netzgewahre Regelung & regelungsgewahre Netze"}],"publication_status":"published","publication_identifier":{"issn":["0005-1098"]},"department":[{"_id":"7"},{"_id":"34"},{"_id":"3"},{"_id":"75"},{"_id":"57"}]},{"_id":"13123","date_updated":"2022-01-06T06:51:28Z","language":[{"iso":"eng"}],"citation":{"ieee":"H. Afifi, K. Horbach, and H. Karl, “A Genetic Algorithm Framework for Solving Wireless Virtual Network Embedding,” in 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (WiMob 2019), 2019.","short":"H. Afifi, K. Horbach, H. Karl, in: 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (WiMob 2019), Barcelona, Spain, 2019.","mla":"Afifi, Haitham, et al. “A Genetic Algorithm Framework for Solving Wireless Virtual Network Embedding.” 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (WiMob 2019), 2019.","bibtex":"@inproceedings{Afifi_Horbach_Karl_2019, place={Barcelona, Spain}, title={A Genetic Algorithm Framework for Solving Wireless Virtual Network Embedding}, booktitle={2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (WiMob 2019)}, author={Afifi, Haitham and Horbach, Konrad and Karl, Holger}, year={2019} }","chicago":"Afifi, Haitham, Konrad Horbach, and Holger Karl. “A Genetic Algorithm Framework for Solving Wireless Virtual Network Embedding.” In 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (WiMob 2019). Barcelona, Spain, 2019.","ama":"Afifi H, Horbach K, Karl H. A Genetic Algorithm Framework for Solving Wireless Virtual Network Embedding. In: 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (WiMob 2019). Barcelona, Spain; 2019.","apa":"Afifi, H., Horbach, K., & Karl, H. (2019). A Genetic Algorithm Framework for Solving Wireless Virtual Network Embedding. In 2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (WiMob 2019). Barcelona, Spain."},"type":"conference","year":"2019","user_id":"65718","title":"A Genetic Algorithm Framework for Solving Wireless Virtual Network Embedding","abstract":[{"lang":"eng","text":"Given the recent development in embedded devices, wireless senor nodes are no longer limited to data collection but they can also do processing (e.g., smartphones). Accordingly, new types of applications take an advantage of the processing and flexibility provided by the wireless network. A common property between these applications is that the processing is not running on only one single node, but it is broken-down into smaller tasks that can run over multiple nodes, i.e., exploiting the in-network processing. We study a special variant of in-network processing, where the application is given by a graph; the processing tasks have predefined connections to be executed in a predefined sequence. The problem of embedding an application graph into a network is commonly known as Virtual Network Embedding (VNE). In this paper, we present a Genetic Algorithm (GA) solution to solve this wireless VNE problem, where we take into account the interference and multi-cast properties. We show that the GA has a good performance and fast execution compared to the optimization problem."}],"place":"Barcelona, Spain","date_created":"2019-09-03T11:54:17Z","project":[{"_id":"27","name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke"}],"status":"public","publication":"2019 International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (WiMob 2019)","department":[{"_id":"75"}],"author":[{"first_name":"Haitham","full_name":"Afifi, Haitham","last_name":"Afifi","id":"65718"},{"last_name":"Horbach","first_name":"Konrad","full_name":"Horbach, Konrad"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}]}]