[{"external_id":{"arxiv":["2201.11343"]},"abstract":[{"lang":"eng","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."}],"user_id":"477","title":"Distributed gradient-based optimization in the presence of dependent aperiodic communication","department":[{"_id":"75"}],"publication":"arXiv:2201.11343","author":[{"last_name":"Redder","id":"52265","first_name":"Adrian","orcid":"https://orcid.org/0000-0001-7391-4688","full_name":"Redder, Adrian"},{"last_name":"Ramaswamy","id":"66937","first_name":"Arunselvan","orcid":"https://orcid.org/ 0000-0001-7547-8111","full_name":"Ramaswamy, Arunselvan"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"date_created":"2022-04-06T06:53:38Z","project":[{"name":"SFB 901 - C4: SFB 901 - Subproject C4","_id":"16"},{"_id":"1","name":"SFB 901: SFB 901"},{"_id":"4","name":"SFB 901 - C: SFB 901 - Project Area C"}],"status":"public","_id":"30790","date_updated":"2022-11-18T09:33:01Z","language":[{"iso":"eng"}],"year":"2022","citation":{"ieee":"A. Redder, A. Ramaswamy, and H. Karl, “Distributed gradient-based optimization in the presence of dependent aperiodic communication,” arXiv:2201.11343. 2022.","short":"A. Redder, A. Ramaswamy, H. Karl, 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} }","mla":"Redder, Adrian, et al. “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."},"type":"preprint"},{"user_id":"477","title":"Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms","external_id":{"arxiv":["2201.00570"]},"abstract":[{"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.","lang":"eng"}],"date_created":"2022-04-06T06:53:52Z","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"}],"status":"public","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"},{"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"}],"date_updated":"2022-11-18T09:33:42Z","_id":"30791","language":[{"iso":"eng"}],"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.","chicago":"Redder, Adrian, Arunselvan Ramaswamy, and Holger Karl. “Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms.” ArXiv:2201.00570, 2022.","ama":"Redder A, Ramaswamy A, Karl H. Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms. arXiv:220100570. Published online 2022.","apa":"Redder, A., Ramaswamy, A., & Karl, H. (2022). Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms. In arXiv:2201.00570.","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} }","mla":"Redder, Adrian, et al. “Asymptotic Convergence of Deep Multi-Agent Actor-Critic Algorithms.” ArXiv:2201.00570, 2022."},"type":"preprint","year":"2022"},{"title":"DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning","ddc":["004"],"user_id":"477","abstract":[{"lang":"eng","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."}],"has_accepted_license":"1","status":"public","date_created":"2022-10-20T16:44:19Z","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"}],"author":[{"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"},{"last_name":"Khalili","first_name":"Ramin","full_name":"Khalili, Ramin"},{"last_name":"Hecker","first_name":"Artur","full_name":"Hecker, Artur"}],"department":[{"_id":"75"}],"file_date_updated":"2022-10-20T16:41:10Z","keyword":["mobility management","coordinated multipoint","CoMP","cell selection","resource management","reinforcement learning","multi agent","MARL","self-learning","self-adaptation","QoE"],"file":[{"date_updated":"2022-10-20T16:41:10Z","content_type":"application/pdf","relation":"main_file","file_size":2521656,"file_id":"33855","creator":"stschn","access_level":"open_access","file_name":"preprint.pdf","date_created":"2022-10-20T16:41:10Z"}],"oa":"1","_id":"33854","date_updated":"2022-11-18T09:59:27Z","year":"2021","citation":{"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.","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.","chicago":"Schneider, Stefan Balthasar, Holger Karl, Ramin Khalili, and Artur Hecker. 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} }","mla":"Schneider, Stefan Balthasar, et al. DeepCoMP: Coordinated Multipoint Using Multi-Agent Deep Reinforcement Learning. 2021."},"type":"working_paper","language":[{"iso":"eng"}]},{"date_updated":"2023-01-10T15:09:05Z","_id":"35889","oa":"1","language":[{"iso":"eng"}],"year":"2021","citation":{"mla":"Schneider, Stefan Balthasar. Conventional and Machine Learning Approaches for Network and Service Coordination. 2021.","bibtex":"@book{Schneider_2021, title={Conventional and Machine Learning Approaches for Network and Service Coordination}, author={Schneider, Stefan Balthasar}, year={2021} }","ama":"Schneider SB. 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.","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."},"type":"working_paper","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."}],"user_id":"35343","title":"Conventional and Machine Learning Approaches for Network and Service Coordination","ddc":["004"],"file":[{"creator":"stschn","file_id":"35890","file_size":133340,"relation":"main_file","content_type":"application/pdf","date_updated":"2023-01-10T15:07:03Z","file_name":"main.pdf","date_created":"2023-01-10T15:07:03Z","access_level":"open_access"}],"author":[{"last_name":"Schneider","id":"35343","first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar"}],"file_date_updated":"2023-01-10T15:07:03Z","department":[{"_id":"75"}],"keyword":["nfv","coordination","machine learning","reinforcement learning","phd","digest"],"status":"public","has_accepted_license":"1","project":[{"name":"SFB 901: SFB 901","_id":"1"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - C4: SFB 901 - Subproject C4","_id":"16"}],"date_created":"2023-01-10T15:08:50Z"},{"place":"Wien, Darmstadt","related_material":{"link":[{"url":"http://repositum.tuwien.ac.at/obvutwoa/content/titleinfo/2514843","relation":"confirmation"}]},"title":"Towards Predicting Resource Demands and Performance of Distributed Cloud Services","department":[{"_id":"75"}],"project":[{"name":"5G Programmable Infrastructure Converging disaggregated neTwork and compUte Resources","grant_number":"762057","_id":"23"},{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Project Area C","_id":"4"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"publication_status":"published","date_updated":"2022-01-06T06:56:38Z","oa":"1","series_title":"KuVS-Fachgespräch Fog Computing 2018","language":[{"iso":"eng"}],"abstract":[{"text":"Understanding the behavior of distributed cloud service components in different load situations is important for efficient and automatic management and orchestration of these services. For this purpose and for practical research in distributed cloud computing in general, there is need for benchmarks and experimental data. In this paper, we describe our experiments for characterizing the relationship between resource demands of application components and the expected performance of applica- tions. We present initial results for predicting the interdependence between resource demands and performance characteristics using support vector regression and polynomial regression models. The data gathered from our experiments is publicly available.","lang":"eng"}],"user_id":"31764","ddc":["000"],"author":[{"id":"31764","last_name":"Dräxler","full_name":"Dräxler, Sevil","first_name":"Sevil"},{"first_name":"Manuel","full_name":"Peuster, Manuel","last_name":"Peuster","id":"13271"},{"last_name":"Illian","first_name":"Marvin","full_name":"Illian, Marvin"},{"first_name":"Holger","full_name":"Karl, Holger","last_name":"Karl","id":"126"}],"date_created":"2018-04-24T12:22:40Z","status":"public","_id":"2483","main_file_link":[{"open_access":"1","url":"http://www.infosys.tuwien.ac.at/docs/proceedings.pdf#page=14"}],"year":"2018","citation":{"chicago":"Dräxler, Sevil, Manuel Peuster, Marvin Illian, and Holger Karl. Towards Predicting Resource Demands and Performance of Distributed Cloud Services. KuVS-Fachgespräch Fog Computing 2018. Wien, Darmstadt, 2018.","ama":"Dräxler S, Peuster M, Illian M, Karl H. Towards Predicting Resource Demands and Performance of Distributed Cloud Services. Wien, Darmstadt; 2018.","apa":"Dräxler, S., Peuster, M., Illian, M., & Karl, H. (2018). Towards Predicting Resource Demands and Performance of Distributed Cloud Services. Wien, Darmstadt.","mla":"Dräxler, Sevil, et al. Towards Predicting Resource Demands and Performance of Distributed Cloud Services. 2018.","bibtex":"@book{Dräxler_Peuster_Illian_Karl_2018, place={Wien, Darmstadt}, series={KuVS-Fachgespräch Fog Computing 2018}, title={Towards Predicting Resource Demands and Performance of Distributed Cloud Services}, author={Dräxler, Sevil and Peuster, Manuel and Illian, Marvin and Karl, Holger}, year={2018}, collection={KuVS-Fachgespräch Fog Computing 2018} }","short":"S. Dräxler, M. Peuster, M. Illian, H. Karl, Towards Predicting Resource Demands and Performance of Distributed Cloud Services, Wien, Darmstadt, 2018.","ieee":"S. Dräxler, M. Peuster, M. Illian, and H. Karl, Towards Predicting Resource Demands and Performance of Distributed Cloud Services. Wien, Darmstadt, 2018."},"type":"report"},{"type":"report","citation":{"short":"R.V. Rosa, C.E. Rothenberg, M. Peuster, H. Karl, Methodology for VNF Benchmarking Automation, IETF, n.d.","ieee":"R. V. Rosa, C. E. Rothenberg, M. Peuster, and H. Karl, Methodology for VNF Benchmarking Automation. IETF.","ama":"Rosa RV, Rothenberg CE, Peuster M, Karl H. Methodology for VNF Benchmarking Automation. IETF","apa":"Rosa, R. V., Rothenberg, C. E., Peuster, M., & Karl, H. (n.d.). Methodology for VNF Benchmarking Automation. IETF.","chicago":"Rosa, Raphael Vicente, Christian Esteve Rothenberg, Manuel Peuster, and Holger Karl. Methodology for VNF Benchmarking Automation. IETF, n.d.","bibtex":"@book{Rosa_Rothenberg_Peuster_Karl, title={Methodology for VNF Benchmarking Automation}, publisher={IETF}, author={Rosa, Raphael Vicente and Rothenberg, Christian Esteve and Peuster, Manuel and Karl, Holger} }","mla":"Rosa, Raphael Vicente, et al. Methodology for VNF Benchmarking Automation. IETF."},"year":"2018","language":[{"iso":"eng"}],"report_number":"draft-rosa-bmwg-vnfbench","main_file_link":[{"open_access":"1","url":"https://datatracker.ietf.org/doc/draft-rosa-bmwg-vnfbench/"}],"oa":"1","date_updated":"2022-01-06T07:03:07Z","_id":"6485","publication_status":"draft","status":"public","date_created":"2019-01-04T07:53:50Z","project":[{"grant_number":"761493","name":"5G Development and validation platform for global industry-specific network services and Apps","_id":"28"}],"author":[{"first_name":"Raphael Vicente","full_name":"Rosa, Raphael Vicente","last_name":"Rosa"},{"full_name":"Rothenberg, Christian Esteve","first_name":"Christian Esteve","last_name":"Rothenberg"},{"id":"13271","last_name":"Peuster","full_name":"Peuster, Manuel","first_name":"Manuel"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"publisher":"IETF","department":[{"_id":"75"}],"title":"Methodology for VNF Benchmarking Automation","user_id":"13271"},{"language":[{"iso":"eng"}],"citation":{"short":"S. Dräxler, H. Karl, CoRR (2015).","ieee":"S. Dräxler and H. Karl, “Specification of Complex Structures in Distributed Service Function Chaining Using a YANG Data Model,” CoRR. 2015.","apa":"Dräxler, S., & Karl, H. (2015). Specification of Complex Structures in Distributed Service Function Chaining Using a YANG Data Model. CoRR.","ama":"Dräxler S, Karl H. Specification of Complex Structures in Distributed Service Function Chaining Using a YANG Data Model. CoRR. 2015.","chicago":"Dräxler, Sevil, and Holger Karl. “Specification of Complex Structures in Distributed Service Function Chaining Using a YANG Data Model.” CoRR, 2015.","bibtex":"@article{Dräxler_Karl_2015, title={Specification of Complex Structures in Distributed Service Function Chaining Using a YANG Data Model}, journal={CoRR}, author={Dräxler, Sevil and Karl, Holger}, year={2015} }","mla":"Dräxler, Sevil, and Holger Karl. “Specification of Complex Structures in Distributed Service Function Chaining Using a YANG Data Model.” CoRR, 2015."},"year":"2015","type":"preprint","main_file_link":[{"url":"https://arxiv.org/abs/1503.02442","open_access":"1"}],"oa":"1","date_updated":"2022-01-06T07:03:39Z","_id":"749","date_created":"2017-11-27T10:22:25Z","status":"public","department":[{"_id":"75"}],"publication":"CoRR","author":[{"full_name":"Dräxler, Sevil","first_name":"Sevil","id":"31764","last_name":"Dräxler"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"user_id":"31764","title":"Specification of Complex Structures in Distributed Service Function Chaining Using a YANG Data Model"},{"title":"Dynamic Backhaul Network Configuration in SDN-based Cloud RANs","user_id":"15572","date_created":"2017-11-27T10:22:25Z","status":"public","publication":"CoRR","department":[{"_id":"75"}],"author":[{"full_name":"Dräxler, Martin","first_name":"Martin","last_name":"Dräxler"},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"_id":"750","date_updated":"2022-01-06T07:03:39Z","type":"preprint","year":"2015","citation":{"apa":"Dräxler, M., & Karl, H. (2015). Dynamic Backhaul Network Configuration in SDN-based Cloud RANs. CoRR.","ama":"Dräxler M, Karl H. Dynamic Backhaul Network Configuration in SDN-based Cloud RANs. CoRR. 2015.","chicago":"Dräxler, Martin, and Holger Karl. “Dynamic Backhaul Network Configuration in SDN-Based Cloud RANs.” CoRR, 2015.","bibtex":"@article{Dräxler_Karl_2015, title={Dynamic Backhaul Network Configuration in SDN-based Cloud RANs}, journal={CoRR}, author={Dräxler, Martin and Karl, Holger}, year={2015} }","mla":"Dräxler, Martin, and Holger Karl. “Dynamic Backhaul Network Configuration in SDN-Based Cloud RANs.” CoRR, 2015.","short":"M. Dräxler, H. Karl, CoRR (2015).","ieee":"M. Dräxler and H. Karl, “Dynamic Backhaul Network Configuration in SDN-based Cloud RANs,” CoRR. 2015."}},{"type":"preprint","citation":{"chicago":"Mehraghdam, Sevil, Matthias Keller, and Holger Karl. “Specifying and Placing Chains of Virtual Network Functions.” CoRR, 2014.","ama":"Mehraghdam S, Keller M, Karl H. Specifying and Placing Chains of Virtual Network Functions. CoRR. 2014.","apa":"Mehraghdam, S., Keller, M., & Karl, H. (2014). Specifying and Placing Chains of Virtual Network Functions. CoRR.","mla":"Mehraghdam, Sevil, et al. “Specifying and Placing Chains of Virtual Network Functions.” CoRR, 2014.","bibtex":"@article{Mehraghdam_Keller_Karl_2014, title={Specifying and Placing Chains of Virtual Network Functions}, journal={CoRR}, author={Mehraghdam, Sevil and Keller, Matthias and Karl, Holger}, year={2014} }","short":"S. Mehraghdam, M. Keller, H. Karl, CoRR (2014).","ieee":"S. Mehraghdam, M. Keller, and H. Karl, “Specifying and Placing Chains of Virtual Network Functions,” CoRR. 2014."},"year":"2014","_id":"766","date_updated":"2022-01-06T07:03:43Z","author":[{"last_name":"Mehraghdam","full_name":"Mehraghdam, Sevil","first_name":"Sevil"},{"last_name":"Keller","first_name":"Matthias","full_name":"Keller, Matthias"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"department":[{"_id":"75"}],"publication":"CoRR","status":"public","date_created":"2017-11-27T10:22:25Z","user_id":"15572","title":"Specifying and Placing Chains of Virtual Network Functions"},{"user_id":"15572","title":"DCT²Gen: A Versatile TCP Traffic Generator for Data Centers","status":"public","date_created":"2017-11-27T10:22:25Z","author":[{"full_name":"Wette, Philip","first_name":"Philip","last_name":"Wette"},{"first_name":"Holger","full_name":"Karl, Holger","last_name":"Karl","id":"126"}],"department":[{"_id":"75"}],"publication":"CoRR","_id":"767","date_updated":"2022-01-06T07:03:43Z","year":"2014","type":"preprint","citation":{"mla":"Wette, Philip, and Holger Karl. “DCT2Gen: A Versatile TCP Traffic Generator for Data Centers.” CoRR, 2014.","bibtex":"@article{Wette_Karl_2014, title={DCT2Gen: A Versatile TCP Traffic Generator for Data Centers}, journal={CoRR}, author={Wette, Philip and Karl, Holger}, year={2014} }","ama":"Wette P, Karl H. DCT2Gen: A Versatile TCP Traffic Generator for Data Centers. CoRR. 2014.","apa":"Wette, P., & Karl, H. (2014). DCT2Gen: A Versatile TCP Traffic Generator for Data Centers. CoRR.","chicago":"Wette, Philip, and Holger Karl. “DCT2Gen: A Versatile TCP Traffic Generator for Data Centers.” CoRR, 2014.","ieee":"P. Wette and H. Karl, “DCT2Gen: A Versatile TCP Traffic Generator for Data Centers,” CoRR. 2014.","short":"P. Wette, H. Karl, CoRR (2014)."}},{"date_created":"2017-11-27T10:22:26Z","status":"public","publication":"CoRR","department":[{"_id":"75"}],"author":[{"last_name":"Schwabe","full_name":"Schwabe, Arne","first_name":"Arne"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"title":"Adding Geographical Embedding to AS Topology Generation","user_id":"15572","type":"preprint","year":"2014","citation":{"bibtex":"@article{Schwabe_Karl_2014, title={Adding Geographical Embedding to AS Topology Generation}, journal={CoRR}, author={Schwabe, Arne and Karl, Holger}, year={2014} }","mla":"Schwabe, Arne, and Holger Karl. “Adding Geographical Embedding to AS Topology Generation.” CoRR, 2014.","ama":"Schwabe A, Karl H. Adding Geographical Embedding to AS Topology Generation. CoRR. 2014.","apa":"Schwabe, A., & Karl, H. (2014). Adding Geographical Embedding to AS Topology Generation. CoRR.","chicago":"Schwabe, Arne, and Holger Karl. “Adding Geographical Embedding to AS Topology Generation.” CoRR, 2014.","ieee":"A. Schwabe and H. Karl, “Adding Geographical Embedding to AS Topology Generation,” CoRR. 2014.","short":"A. Schwabe, H. 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Karl, in: Lecture Notes in Electrical Engineering, Springer International Publishing, Cham, 2013, pp. 165–177.","ieee":"J. Blanckenstein, J. Garcia-Jimenez, J. Klaue, and H. Karl, “A Scalable Redundant TDMA Protocol for High-Density WSNs Inside an Aircraft,” in Lecture Notes in Electrical Engineering, Cham: Springer International Publishing, 2013, pp. 165–177.","apa":"Blanckenstein, J., Garcia-Jimenez, J., Klaue, J., & Karl, H. (2013). A Scalable Redundant TDMA Protocol for High-Density WSNs Inside an Aircraft. In Lecture Notes in Electrical Engineering (pp. 165–177). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-03071-5_18","ama":"Blanckenstein J, Garcia-Jimenez J, Klaue J, Karl H. A Scalable Redundant TDMA Protocol for High-Density WSNs Inside an Aircraft. In: Lecture Notes in Electrical Engineering. 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Dräxler, J. Blobel, P. Dreimann, S. Valentin, and H. Karl, “Anticipatory Buffer Control and Quality Selection for Wireless Video Streaming,” CoRR. 2013.","short":"M. Dräxler, J. Blobel, P. Dreimann, S. Valentin, H. Karl, CoRR (2013).","bibtex":"@article{Dräxler_Blobel_Dreimann_Valentin_Karl_2013, title={Anticipatory Buffer Control and Quality Selection for Wireless Video Streaming}, journal={CoRR}, author={Dräxler, Martin and Blobel, Johannes and Dreimann, Philipp and Valentin, Stefan and Karl, Holger}, year={2013} }","mla":"Dräxler, Martin, et al. “Anticipatory Buffer Control and Quality Selection for Wireless Video Streaming.” CoRR, 2013.","ama":"Dräxler M, Blobel J, Dreimann P, Valentin S, Karl H. Anticipatory Buffer Control and Quality Selection for Wireless Video Streaming. CoRR. 2013.","apa":"Dräxler, M., Blobel, J., Dreimann, P., Valentin, S., & Karl, H. (2013). Anticipatory Buffer Control and Quality Selection for Wireless Video Streaming. CoRR.","chicago":"Dräxler, Martin, Johannes Blobel, Philipp Dreimann, Stefan Valentin, and Holger Karl. “Anticipatory Buffer Control and Quality Selection for Wireless Video Streaming.” CoRR, 2013."}},{"_id":"2504","date_updated":"2022-01-06T06:56:44Z","year":"2012","citation":{"short":"R.A.M. Khan, H. Karl, Simulating Cooperative Diversity Protocols for Multi-Hop Wireless and Sensor Networks, 2012.","ieee":"R. A. M. Khan and H. Karl, Simulating Cooperative Diversity Protocols for Multi-hop Wireless and Sensor Networks. 2012.","ama":"Khan RAM, Karl H. Simulating Cooperative Diversity Protocols for Multi-Hop Wireless and Sensor Networks.; 2012.","apa":"Khan, R. A. M., & Karl, H. (2012). Simulating Cooperative Diversity Protocols for Multi-hop Wireless and Sensor Networks.","chicago":"Khan, Rana Azeem M., and Holger Karl. Simulating Cooperative Diversity Protocols for Multi-Hop Wireless and Sensor Networks, 2012.","mla":"Khan, Rana Azeem M., and Holger Karl. Simulating Cooperative Diversity Protocols for Multi-Hop Wireless and Sensor Networks. 2012.","bibtex":"@book{Khan_Karl_2012, title={Simulating Cooperative Diversity Protocols for Multi-hop Wireless and Sensor Networks}, author={Khan, Rana Azeem M. and Karl, Holger}, year={2012} }"},"type":"report","main_file_link":[{"url":"https://pdfs.semanticscholar.org/d44f/54184aee09de1c22906b7515976de801d473.pdf"}],"user_id":"15572","title":"Simulating Cooperative Diversity Protocols for Multi-hop Wireless and Sensor Networks","status":"public","date_created":"2018-04-26T10:33:57Z","author":[{"last_name":"Khan","first_name":"Rana Azeem M.","full_name":"Khan, Rana Azeem M."},{"id":"126","last_name":"Karl","full_name":"Karl, Holger","first_name":"Holger"}],"department":[{"_id":"75"}]},{"ddc":["000"],"title":"Report on Locality in DNS Requests – Evaluation and Impact on Future Internet Architectures","user_id":"15572","date_created":"2018-04-26T10:38:06Z","status":"public","has_accepted_license":"1","file_date_updated":"2018-04-26T10:37:47Z","department":[{"_id":"75"}],"author":[{"last_name":"Dannewitz","first_name":"Christian","full_name":"Dannewitz, Christian"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"},{"last_name":"Yadav","full_name":"Yadav, Aditya","first_name":"Aditya"}],"file":[{"access_level":"closed","file_name":"Dannewitz-Report_on_Locality_in_DNS_Requests.pdf","date_created":"2018-04-26T10:37:47Z","relation":"main_file","success":1,"content_type":"application/pdf","date_updated":"2018-04-26T10:37:47Z","creator":"tabu","file_id":"2507","file_size":284669}],"_id":"2505","date_updated":"2022-01-06T06:56:44Z","type":"report","citation":{"apa":"Dannewitz, C., Karl, H., & Yadav, A. (2012). Report on Locality in DNS Requests – Evaluation and Impact on Future Internet Architectures.","ama":"Dannewitz C, Karl H, Yadav A. Report on Locality in DNS Requests – Evaluation and Impact on Future Internet Architectures.; 2012.","chicago":"Dannewitz, Christian, Holger Karl, and Aditya Yadav. Report on Locality in DNS Requests – Evaluation and Impact on Future Internet Architectures, 2012.","mla":"Dannewitz, Christian, et al. Report on Locality in DNS Requests – Evaluation and Impact on Future Internet Architectures. 2012.","bibtex":"@book{Dannewitz_Karl_Yadav_2012, title={Report on Locality in DNS Requests – Evaluation and Impact on Future Internet Architectures}, author={Dannewitz, Christian and Karl, Holger and Yadav, Aditya}, year={2012} }","short":"C. Dannewitz, H. Karl, A. Yadav, Report on Locality in DNS Requests – Evaluation and Impact on Future Internet Architectures, 2012.","ieee":"C. Dannewitz, H. Karl, and A. Yadav, Report on Locality in DNS Requests – Evaluation and Impact on Future Internet Architectures. 2012."},"year":"2012"},{"status":"public","has_accepted_license":"1","project":[{"_id":"1","name":"SFB 901"},{"name":"SFB 901 - Subprojekt A2","_id":"6"},{"name":"SFB 901 - Project Area A","_id":"2"}],"date_created":"2017-10-17T12:42:49Z","publisher":"Universität Paderborn","author":[{"full_name":"Wette, Philip","first_name":"Philip","last_name":"Wette"},{"full_name":"Karl, Holger","first_name":"Holger","id":"126","last_name":"Karl"}],"department":[{"_id":"75"}],"file_date_updated":"2018-03-09T09:57:26Z","file":[{"access_level":"closed","file_name":"underlayMod2.pdf","date_created":"2018-03-09T09:57:26Z","relation":"main_file","success":1,"content_type":"application/pdf","date_updated":"2018-03-09T09:57:26Z","file_id":"1205","creator":"hkarl","file_size":717326}],"title":"Introducing feedback to preemptive routing and wavelength assignment algorithms for dynamic traffic scenarios","ddc":["000"],"user_id":"126","abstract":[{"lang":"eng","text":"Preemptive Routing and Wavelength Assignment (RWA) algorithms preempt established lightpaths in case not enough resources are available to setup a new lightpath in a Wavelength Division Multiplexing (WDM) network. The selection of lightpaths to be preempted relies on internal decisions of the RWA algorithm. Thus, if dedicated properties of the network topology are required by the applications running on the network, these requirements have to be known by the RWA algorithm. Otherwise it might happen that by preempting a particular lightpath these requirements are violated. If, however, these requirements include parameters only known at the nodes running the application, the RWA algorithm cannot evaluate the requirements. For this reason a RWA algorithm is needed which involves its users in the preemption decisions. We present a family of preemptive RWA algorithms for WDM networks. These algorithms have two distinguishing features: a) they can handle dynamic traffic by on-the-fly reconfiguration, and b) users can give feedback for reconfiguration decisions and thus influence the preemption decision of the RWA algorithm, leading to networks which adapt directly to application needs. This is different from traffic engineering where the network is (slowly) adapted to observed traffic patterns. Our algorithms handle various WDM network configurations including networks consisting of heterogeneous WDM hardware. To this end, we are using the layered graph approach together with a newly developed graph model that is used to determine conflicting lightpaths."}],"year":"2012","type":"report","citation":{"ama":"Wette P, Karl H. Introducing Feedback to Preemptive Routing and Wavelength Assignment Algorithms for Dynamic Traffic Scenarios. Universität Paderborn; 2012.","apa":"Wette, P., & Karl, H. (2012). Introducing feedback to preemptive routing and wavelength assignment algorithms for dynamic traffic scenarios. Universität Paderborn.","chicago":"Wette, Philip, and Holger Karl. Introducing Feedback to Preemptive Routing and Wavelength Assignment Algorithms for Dynamic Traffic Scenarios. Universität Paderborn, 2012.","mla":"Wette, Philip, and Holger Karl. Introducing Feedback to Preemptive Routing and Wavelength Assignment Algorithms for Dynamic Traffic Scenarios. Universität Paderborn, 2012.","bibtex":"@book{Wette_Karl_2012, title={Introducing feedback to preemptive routing and wavelength assignment algorithms for dynamic traffic scenarios}, publisher={Universität Paderborn}, author={Wette, Philip and Karl, Holger}, year={2012} }","short":"P. Wette, H. Karl, Introducing Feedback to Preemptive Routing and Wavelength Assignment Algorithms for Dynamic Traffic Scenarios, Universität Paderborn, 2012.","ieee":"P. Wette and H. Karl, Introducing feedback to preemptive routing and wavelength assignment algorithms for dynamic traffic scenarios. 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In Architecture and Design for the Future Internet.","chicago":"Dannewitz, Christian, and et al. “How to Manage and Search/Retrieve Information Objects.” In Architecture and Design for the Future Internet, 2011.","bibtex":"@inbook{Dannewitz_al_2011, title={How to manage and Search/Retrieve Information Objects}, booktitle={Architecture and Design for the Future Internet}, author={Dannewitz, Christian and al, et}, year={2011} }","mla":"Dannewitz, Christian, and et al. “How to Manage and Search/Retrieve Information Objects.” Architecture and Design for the Future Internet, 2011.","short":"C. Dannewitz, et al, in: Architecture and Design for the Future Internet, 2011.","ieee":"C. Dannewitz and et al, “How to manage and Search/Retrieve Information Objects,” in Architecture and Design for the Future Internet, 2011."},"main_file_link":[{"url":"https://www.springer.com/de/book/9789048193455"}]},{"date_created":"2018-05-07T09:23:29Z","status":"public","department":[{"_id":"75"}],"publication":"Architecture and Design for the Future Internet","author":[{"full_name":"Dannewitz, Christian","first_name":"Christian","last_name":"Dannewitz"},{"last_name":"al","first_name":"et","full_name":"al, et"}],"user_id":"15572","title":"Integrating Generic Paths and NetInf","year":"2011","type":"book_chapter","citation":{"mla":"Dannewitz, Christian, and et al. “Integrating Generic Paths and NetInf.” Architecture and Design for the Future Internet, 2011.","bibtex":"@inbook{Dannewitz_al_2011, title={Integrating Generic Paths and NetInf}, booktitle={Architecture and Design for the Future Internet}, author={Dannewitz, Christian and al, et}, year={2011} }","chicago":"Dannewitz, Christian, and et al. “Integrating Generic Paths and NetInf.” In Architecture and Design for the Future Internet, 2011.","apa":"Dannewitz, C., & al, et. 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Dannewitz, et al, in: Architecture and Design for the Future Internet, 2011."},"main_file_link":[{"url":"https://www.springer.com/de/book/9789048193455"}],"date_updated":"2022-01-06T06:57:24Z","_id":"2663"},{"page":"285-297","type":"book_chapter","year":"2011","citation":{"bibtex":"@inbook{Kanter_Kardeby_Forsström_Walters_2011, place={Berlin, Heidelberg}, title={Scenarios, Research Issues, and Architecture for Ubiquitous Sensing}, DOI={10.1007/978-3-642-21444-8_25}, booktitle={Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering}, publisher={Springer Berlin Heidelberg}, author={Kanter, Theo and Kardeby, Victor and Forsström, Stefan and Walters, Jamie}, year={2011}, pages={285–297} }","mla":"Kanter, Theo, et al. “Scenarios, Research Issues, and Architecture for Ubiquitous Sensing.” Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Springer Berlin Heidelberg, 2011, pp. 285–97, doi:10.1007/978-3-642-21444-8_25.","ama":"Kanter T, Kardeby V, Forsström S, Walters J. 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