[{"publisher":"IFIP/IEEE","date_created":"2020-12-11T08:39:47Z","title":"Divide and Conquer: Hierarchical Network and Service Coordination","quality_controlled":"1","year":"2021","keyword":["network management","service management","coordination","hierarchical","scalability","nfv"],"ddc":["006"],"language":[{"iso":"eng"}],"publication":"IFIP/IEEE International Symposium on Integrated Network Management (IM)","abstract":[{"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.","lang":"eng"}],"file":[{"date_created":"2020-12-11T08:37:37Z","creator":"stschn","date_updated":"2020-12-11T08:37:37Z","access_level":"open_access","file_name":"preprint_with_header.pdf","file_id":"20694","file_size":7979772,"title":"Divide and Conquer: Hierarchical Network and Service Coordination","content_type":"application/pdf","relation":"main_file"}],"oa":"1","date_updated":"2022-01-06T06:54:32Z","author":[{"first_name":"Stefan Balthasar","id":"35343","full_name":"Schneider, Stefan Balthasar","last_name":"Schneider","orcid":"0000-0001-8210-4011"},{"full_name":"Jürgens, Mirko","last_name":"Jürgens","first_name":"Mirko"},{"first_name":"Holger","last_name":"Karl","id":"126","full_name":"Karl, Holger"}],"conference":{"location":"Bordeaux, France","name":"IFIP/IEEE International Symposium on Integrated Network Management (IM)"},"has_accepted_license":"1","citation":{"apa":"Schneider, S. B., Jürgens, M., &#38; Karl, H. (2021). Divide and Conquer: Hierarchical Network and Service Coordination. In <i>IFIP/IEEE International Symposium on Integrated Network Management (IM)</i>. 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.” <i>IFIP/IEEE International Symposium on Integrated Network Management (IM)</i>, IFIP/IEEE, 2021.","short":"S.B. Schneider, M. Jürgens, H. Karl, 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: <i>IFIP/IEEE International Symposium on Integrated Network Management (IM)</i>. IFIP/IEEE; 2021.","ieee":"S. B. Schneider, M. Jürgens, and H. Karl, “Divide and Conquer: Hierarchical Network and Service Coordination,” in <i>IFIP/IEEE International Symposium on Integrated Network Management (IM)</i>, Bordeaux, France, 2021.","chicago":"Schneider, Stefan Balthasar, Mirko Jürgens, and Holger Karl. “Divide and Conquer: Hierarchical Network and Service Coordination.” In <i>IFIP/IEEE International Symposium on Integrated Network Management (IM)</i>. IFIP/IEEE, 2021."},"_id":"20693","project":[{"_id":"1","name":"SFB 901"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"department":[{"_id":"75"}],"user_id":"35343","file_date_updated":"2020-12-11T08:37:37Z","type":"conference","status":"public"},{"abstract":[{"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.","lang":"eng"}],"status":"public","file":[{"date_created":"2023-01-10T15:07:03Z","creator":"stschn","date_updated":"2023-01-10T15:07:03Z","access_level":"open_access","file_id":"35890","file_name":"main.pdf","file_size":133340,"content_type":"application/pdf","relation":"main_file"}],"type":"working_paper","keyword":["nfv","coordination","machine learning","reinforcement learning","phd","digest"],"ddc":["004"],"language":[{"iso":"eng"}],"file_date_updated":"2023-01-10T15:07:03Z","_id":"35889","project":[{"_id":"1","name":"SFB 901: SFB 901"},{"name":"SFB 901 - C: SFB 901 - Project Area C","_id":"4"},{"_id":"16","name":"SFB 901 - C4: SFB 901 - Subproject C4"}],"department":[{"_id":"75"}],"user_id":"35343","year":"2021","citation":{"ieee":"S. B. Schneider, <i>Conventional and Machine Learning Approaches for Network and Service Coordination</i>. 2021.","chicago":"Schneider, Stefan Balthasar. <i>Conventional and Machine Learning Approaches for Network and Service Coordination</i>, 2021.","ama":"Schneider SB. <i>Conventional and Machine Learning Approaches for Network and Service Coordination</i>.; 2021.","apa":"Schneider, S. B. (2021). <i>Conventional and Machine Learning Approaches for Network and Service Coordination</i>.","short":"S.B. Schneider, 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} }","mla":"Schneider, Stefan Balthasar. <i>Conventional and Machine Learning Approaches for Network and Service Coordination</i>. 2021."},"has_accepted_license":"1","title":"Conventional and Machine Learning Approaches for Network and Service Coordination","date_updated":"2023-01-10T15:09:05Z","oa":"1","author":[{"first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","last_name":"Schneider","full_name":"Schneider, Stefan Balthasar","id":"35343"}],"date_created":"2023-01-10T15:08:50Z"},{"oa":"1","date_updated":"2022-01-06T06:54:08Z","author":[{"orcid":"0000-0001-8210-4011","last_name":"Schneider","id":"35343","full_name":"Schneider, Stefan Balthasar","first_name":"Stefan Balthasar"},{"first_name":"Lars Dietrich","full_name":"Klenner, Lars Dietrich","last_name":"Klenner"},{"first_name":"Holger","id":"126","full_name":"Karl, Holger","last_name":"Karl"}],"citation":{"apa":"Schneider, S. B., Klenner, L. D., &#38; Karl, H. (2020). Every Node for Itself: Fully Distributed Service Coordination. In <i>IEEE International Conference on Network and Service Management (CNSM)</i>. IEEE.","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} }","short":"S.B. Schneider, L.D. Klenner, H. Karl, in: IEEE International Conference on Network and Service Management (CNSM), IEEE, 2020.","mla":"Schneider, Stefan Balthasar, et al. “Every Node for Itself: Fully Distributed Service Coordination.” <i>IEEE International Conference on Network and Service Management (CNSM)</i>, IEEE, 2020.","chicago":"Schneider, Stefan Balthasar, Lars Dietrich Klenner, and Holger Karl. “Every Node for Itself: Fully Distributed Service Coordination.” In <i>IEEE International Conference on Network and Service Management (CNSM)</i>. IEEE, 2020.","ieee":"S. B. Schneider, L. D. Klenner, and H. Karl, “Every Node for Itself: Fully Distributed Service Coordination,” in <i>IEEE International Conference on Network and Service Management (CNSM)</i>, 2020.","ama":"Schneider SB, Klenner LD, Karl H. Every Node for Itself: Fully Distributed Service Coordination. In: <i>IEEE International Conference on Network and Service Management (CNSM)</i>. IEEE; 2020."},"has_accepted_license":"1","file_date_updated":"2020-09-22T06:36:25Z","project":[{"name":"SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - Project Area C"},{"_id":"16","name":"SFB 901 - Subproject C4"}],"_id":"19607","user_id":"35343","department":[{"_id":"75"}],"status":"public","type":"conference","title":"Every Node for Itself: Fully Distributed Service Coordination","publisher":"IEEE","date_created":"2020-09-22T06:23:40Z","year":"2020","ddc":["006"],"keyword":["distributed management","service coordination","network coordination","nfv","softwarization","orchestration"],"language":[{"iso":"eng"}],"abstract":[{"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).","lang":"eng"}],"file":[{"content_type":"application/pdf","relation":"main_file","date_created":"2020-09-22T06:25:57Z","creator":"stschn","date_updated":"2020-09-22T06:36:25Z","access_level":"open_access","file_name":"ris_with_copyright.pdf","file_id":"19608","file_size":500948}],"publication":"IEEE International Conference on Network and Service Management (CNSM)"},{"date_created":"2020-09-22T06:28:22Z","publisher":"IEEE","title":"Self-Driving Network and Service Coordination Using Deep Reinforcement Learning","year":"2020","language":[{"iso":"eng"}],"keyword":["self-driving networks","self-learning","network coordination","service coordination","reinforcement learning","deep learning","nfv"],"ddc":["006"],"publication":"IEEE International Conference on Network and Service Management (CNSM)","file":[{"date_updated":"2020-09-22T06:36:00Z","date_created":"2020-09-22T06:29:16Z","creator":"stschn","file_size":642999,"file_id":"19610","file_name":"ris_with_copyright.pdf","access_level":"open_access","content_type":"application/pdf","relation":"main_file"}],"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."}],"author":[{"id":"35343","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011","last_name":"Schneider","first_name":"Stefan Balthasar"},{"first_name":"Adnan","full_name":"Manzoor, Adnan","last_name":"Manzoor"},{"first_name":"Haydar","full_name":"Qarawlus, Haydar","last_name":"Qarawlus"},{"full_name":"Schellenberg, Rafael","last_name":"Schellenberg","first_name":"Rafael"},{"first_name":"Holger","last_name":"Karl","full_name":"Karl, Holger","id":"126"},{"last_name":"Khalili","full_name":"Khalili, Ramin","first_name":"Ramin"},{"first_name":"Artur","full_name":"Hecker, Artur","last_name":"Hecker"}],"oa":"1","date_updated":"2022-01-06T06:54:08Z","has_accepted_license":"1","citation":{"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.","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.” <i>IEEE International Conference on Network and Service Management (CNSM)</i>, IEEE, 2020.","apa":"Schneider, S. B., Manzoor, A., Qarawlus, H., Schellenberg, R., Karl, H., Khalili, R., &#38; Hecker, A. (2020). Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In <i>IEEE International Conference on Network and Service Management (CNSM)</i>. IEEE.","ama":"Schneider SB, Manzoor A, Qarawlus H, et al. Self-Driving Network and Service Coordination Using Deep Reinforcement Learning. In: <i>IEEE International Conference on Network and Service Management (CNSM)</i>. IEEE; 2020.","ieee":"S. B. Schneider <i>et al.</i>, “Self-Driving Network and Service Coordination Using Deep Reinforcement Learning,” in <i>IEEE International Conference on Network and Service Management (CNSM)</i>, 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 <i>IEEE International Conference on Network and Service Management (CNSM)</i>. IEEE, 2020."},"department":[{"_id":"75"}],"user_id":"35343","_id":"19609","project":[{"name":"SFB 901","_id":"1"},{"_id":"4","name":"SFB 901 - Project Area C"},{"name":"SFB 901 - Subproject C4","_id":"16"}],"file_date_updated":"2020-09-22T06:36:00Z","type":"conference","status":"public"},{"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"}],"file":[{"relation":"main_file","content_type":"application/pdf","file_size":374397,"file_name":"preprint_ris_with_header.pdf","file_id":"9272","access_level":"open_access","date_updated":"2019-12-12T09:15:57Z","creator":"stschn","date_created":"2019-04-23T09:29:49Z"}],"publication":"European Conference on Networks and Communications (EuCNC)","keyword":["5g","vertical","smart manufacturing","nfv"],"ddc":["000"],"language":[{"iso":"eng"}],"year":"2019","title":"Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario","publisher":"IEEE","date_created":"2019-04-23T09:27:06Z","status":"public","type":"conference","file_date_updated":"2019-12-12T09:15:57Z","_id":"9270","project":[{"name":"SFB 901","_id":"1"},{"name":"SFB 901 - Project Area C","_id":"4"},{"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"}],"department":[{"_id":"75"}],"user_id":"35343","place":"Valencia, Spain","citation":{"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: <i>European Conference on Networks and Communications (EuCNC)</i>. Valencia, Spain: IEEE; 2019. doi:<a href=\"https://doi.org/10.1109/eucnc.2019.8802016\">10.1109/eucnc.2019.8802016</a>","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 <i>European Conference on Networks and Communications (EuCNC)</i>, 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 <i>European Conference on Networks and Communications (EuCNC)</i>. Valencia, Spain: IEEE, 2019. <a href=\"https://doi.org/10.1109/eucnc.2019.8802016\">https://doi.org/10.1109/eucnc.2019.8802016</a>.","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.","bibtex":"@inproceedings{Schneider_Peuster_Behnke_Marcel_Bök_Karl_2019, place={Valencia, Spain}, title={Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario}, DOI={<a href=\"https://doi.org/10.1109/eucnc.2019.8802016\">10.1109/eucnc.2019.8802016</a>}, 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} }","mla":"Schneider, Stefan Balthasar, et al. “Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario.” <i>European Conference on Networks and Communications (EuCNC)</i>, IEEE, 2019, doi:<a href=\"https://doi.org/10.1109/eucnc.2019.8802016\">10.1109/eucnc.2019.8802016</a>.","apa":"Schneider, S. B., Peuster, M., Behnke, D., Marcel, M., Bök, P.-B., &#38; Karl, H. (2019). Putting 5G into Production: Realizing a Smart Manufacturing Vertical Scenario. In <i>European Conference on Networks and Communications (EuCNC)</i>. Valencia, Spain: IEEE. <a href=\"https://doi.org/10.1109/eucnc.2019.8802016\">https://doi.org/10.1109/eucnc.2019.8802016</a>"},"has_accepted_license":"1","doi":"10.1109/eucnc.2019.8802016","main_file_link":[{"url":"https://ieeexplore.ieee.org/document/8802016"}],"date_updated":"2022-01-06T07:04:12Z","oa":"1","author":[{"first_name":"Stefan Balthasar","id":"35343","full_name":"Schneider, Stefan Balthasar","orcid":"0000-0001-8210-4011","last_name":"Schneider"},{"full_name":"Peuster, Manuel","id":"13271","last_name":"Peuster","first_name":"Manuel"},{"full_name":"Behnke, Daniel","last_name":"Behnke","first_name":"Daniel"},{"full_name":"Marcel, Müller","last_name":"Marcel","first_name":"Müller"},{"last_name":"Bök","full_name":"Bök, Patrick-Benjamin","first_name":"Patrick-Benjamin"},{"first_name":"Holger","last_name":"Karl","id":"126","full_name":"Karl, Holger"}]},{"language":[{"iso":"eng"}],"keyword":["5G mobile communication","contracts","quality of service","telecommunication traffic","virtualisation","custom service lifecycle management components","lifecycle management events","network service developer","elastic proxy service","SLA-controlled proxy service","customisable MANO","operator policies","Service Level Agreements","unique 5G TANGO concept","5G TANGO NFV platform","quality of service","traffic regimes","high availability SLA","Monitoring","Probes","Portals","Quality of service","Tools","Servers","Graphical user interfaces"],"user_id":"13271","project":[{"grant_number":"761493","_id":"28","name":"5G Development and validation platform for global industry-specific network services and Apps"}],"_id":"15368","status":"public","abstract":[{"text":"Service Level Agreements are essential tools enabling clients and telco operators to specify required quality of service. The 5GTANGO NFV platform enables SLAs through policies and custom service lifecycle management components. This allows the operator to trigger certain lifecycle management events for a service, and the network service developer to define how to execute such events (e.g., how to scale). In this demo we will demonstrate this unique 5GTANGO concept using an elastic proxy service supported by a high availability SLA enforced through a range of traffic regimes.","lang":"eng"}],"type":"conference","publication":"2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)","main_file_link":[{"url":"https://ieeexplore.ieee.org/abstract/document/8717922"}],"conference":{"location":"Arlington, VA, USA, USA","name":"IFIP/IEEE Symposium on Integrated Network and Service Management (IM)"},"title":"SLA-controlled Proxy Service Through Customisable MANO Supporting Operator Policies","date_created":"2019-12-18T06:54:18Z","author":[{"full_name":"Soenen, Thomas","last_name":"Soenen","first_name":"Thomas"},{"first_name":"Felipe","last_name":"Vicens","full_name":"Vicens, Felipe"},{"first_name":"José","last_name":"Bonnet","full_name":"Bonnet, José"},{"full_name":"Parada, Carlos","last_name":"Parada","first_name":"Carlos"},{"first_name":"Evgenia","last_name":"Kapassa","full_name":"Kapassa, Evgenia"},{"full_name":"Touloupou, Marious","last_name":"Touloupou","first_name":"Marious"},{"last_name":"Fotopulou","full_name":"Fotopulou, Eleni","first_name":"Eleni"},{"full_name":"Zafeiropoulos, Anastasios","last_name":"Zafeiropoulos","first_name":"Anastasios"},{"first_name":"Ana","full_name":"Pol, Ana","last_name":"Pol"},{"full_name":"Kolometsos, Stavros","last_name":"Kolometsos","first_name":"Stavros"},{"first_name":"George","last_name":"Xilouris","full_name":"Xilouris, George"},{"first_name":"Pol","last_name":"Alemany","full_name":"Alemany, Pol"},{"first_name":"Ricard","full_name":"Vilalta, Ricard","last_name":"Vilalta"},{"full_name":"Trakadas, Panos","last_name":"Trakadas","first_name":"Panos"},{"last_name":"Karkazis","full_name":"Karkazis, Panos","first_name":"Panos"},{"id":"13271","full_name":"Peuster, Manuel","last_name":"Peuster","first_name":"Manuel"},{"first_name":"Wouter","full_name":"Tavernier, Wouter","last_name":"Tavernier"}],"date_updated":"2022-01-06T06:52:21Z","citation":{"ama":"Soenen T, Vicens F, Bonnet J, et al. SLA-controlled Proxy Service Through Customisable MANO Supporting Operator Policies. In: <i>2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)</i>. ; 2019:707-708.","ieee":"T. Soenen <i>et al.</i>, “SLA-controlled Proxy Service Through Customisable MANO Supporting Operator Policies,” in <i>2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)</i>, Arlington, VA, USA, USA, 2019, pp. 707–708.","chicago":"Soenen, Thomas, Felipe Vicens, José Bonnet, Carlos Parada, Evgenia Kapassa, Marious Touloupou, Eleni Fotopulou, et al. “SLA-Controlled Proxy Service Through Customisable MANO Supporting Operator Policies.” In <i>2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)</i>, 707–8, 2019.","mla":"Soenen, Thomas, et al. “SLA-Controlled Proxy Service Through Customisable MANO Supporting Operator Policies.” <i>2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)</i>, 2019, pp. 707–08.","bibtex":"@inproceedings{Soenen_Vicens_Bonnet_Parada_Kapassa_Touloupou_Fotopulou_Zafeiropoulos_Pol_Kolometsos_et al._2019, title={SLA-controlled Proxy Service Through Customisable MANO Supporting Operator Policies}, booktitle={2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)}, author={Soenen, Thomas and Vicens, Felipe and Bonnet, José and Parada, Carlos and Kapassa, Evgenia and Touloupou, Marious and Fotopulou, Eleni and Zafeiropoulos, Anastasios and Pol, Ana and Kolometsos, Stavros and et al.}, year={2019}, pages={707–708} }","short":"T. Soenen, F. Vicens, J. Bonnet, C. Parada, E. Kapassa, M. Touloupou, E. Fotopulou, A. Zafeiropoulos, A. Pol, S. Kolometsos, G. Xilouris, P. Alemany, R. Vilalta, P. Trakadas, P. Karkazis, M. Peuster, W. Tavernier, in: 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM), 2019, pp. 707–708.","apa":"Soenen, T., Vicens, F., Bonnet, J., Parada, C., Kapassa, E., Touloupou, M., … Tavernier, W. (2019). SLA-controlled Proxy Service Through Customisable MANO Supporting Operator Policies. In <i>2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM)</i> (pp. 707–708). Arlington, VA, USA, USA."},"page":"707-708","year":"2019","publication_identifier":{"issn":["1573-0077"]}},{"has_accepted_license":"1","citation":{"chicago":"Schneider, Stefan Balthasar, Manuel Peuster, Kai Hannemann, Daniel Behnke, Marcel Müller, Patrick-Benjamin Bök, and Holger Karl. “‘Producing Cloud-Native’: Smart Manufacturing Use Cases on Kubernetes.” In <i>IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track</i>. Dallas, TX, USA: IEEE, 2019.","ieee":"S. B. Schneider <i>et al.</i>, “‘Producing Cloud-Native’: Smart Manufacturing Use Cases on Kubernetes,” in <i>IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track</i>, Dallas, TX, USA, 2019.","ama":"Schneider SB, Peuster M, Hannemann K, et al. “Producing Cloud-Native”: Smart Manufacturing Use Cases on Kubernetes. In: <i>IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track</i>. Dallas, TX, USA: IEEE; 2019.","apa":"Schneider, S. B., Peuster, M., Hannemann, K., Behnke, D., Müller, M., Bök, P.-B., &#38; Karl, H. (2019). “Producing Cloud-Native”: Smart Manufacturing Use Cases on Kubernetes. In <i>IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track</i>. Dallas, TX, USA: IEEE.","bibtex":"@inproceedings{Schneider_Peuster_Hannemann_Behnke_Müller_Bök_Karl_2019, place={Dallas, TX, USA}, title={“Producing Cloud-Native”: Smart Manufacturing Use Cases on Kubernetes}, booktitle={IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track}, publisher={IEEE}, author={Schneider, Stefan Balthasar and Peuster, Manuel and Hannemann, Kai and Behnke, Daniel and Müller, Marcel and Bök, Patrick-Benjamin and Karl, Holger}, year={2019} }","mla":"Schneider, Stefan Balthasar, et al. “‘Producing Cloud-Native’: Smart Manufacturing Use Cases on Kubernetes.” <i>IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track</i>, IEEE, 2019.","short":"S.B. Schneider, M. Peuster, K. Hannemann, D. Behnke, M. Müller, P.-B. Bök, H. Karl, in: IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track, IEEE, Dallas, TX, USA, 2019."},"place":"Dallas, TX, USA","author":[{"orcid":"0000-0001-8210-4011","last_name":"Schneider","full_name":"Schneider, Stefan Balthasar","id":"35343","first_name":"Stefan Balthasar"},{"first_name":"Manuel","full_name":"Peuster, Manuel","id":"13271","last_name":"Peuster"},{"first_name":"Kai","last_name":"Hannemann","full_name":"Hannemann, Kai"},{"full_name":"Behnke, Daniel","last_name":"Behnke","first_name":"Daniel"},{"first_name":"Marcel","last_name":"Müller","full_name":"Müller, Marcel"},{"full_name":"Bök, Patrick-Benjamin","last_name":"Bök","first_name":"Patrick-Benjamin"},{"first_name":"Holger","last_name":"Karl","id":"126","full_name":"Karl, Holger"}],"date_updated":"2022-01-06T06:51:32Z","oa":"1","conference":{"location":"Dallas, TX, USA","name":"2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track"},"type":"conference","status":"public","user_id":"35343","department":[{"_id":"75"}],"project":[{"name":"SFB 901","_id":"1"},{"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"}],"_id":"13292","file_date_updated":"2019-09-19T07:17:41Z","year":"2019","date_created":"2019-09-19T07:17:46Z","publisher":"IEEE","title":"\"Producing Cloud-Native\": Smart Manufacturing Use Cases on Kubernetes","publication":"IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) Demo Track","file":[{"date_updated":"2019-09-19T07:17:41Z","date_created":"2019-09-19T07:17:41Z","creator":"stschn","file_size":182136,"file_name":"preprint_ris.pdf","access_level":"open_access","file_id":"13293","content_type":"application/pdf","relation":"main_file"}],"abstract":[{"text":"Building on 5G and network function virtualization (NFV), smart manufacturing has the potential to drastically increase productivity, reduce cost, and introduce novel, flexible manufacturing services. Current work mostly focuses on high-level scenarios or emulation-based prototype deployments. \r\n\r\nExtending our previous work, we showcase one of the first cloud-native 5G verticals focusing on the deployment of smart manufacturing use cases on production infrastructure. In particular, we use the 5GTANGO service platform to deploy our developed network services on Kubernetes. For this demo, we implemented a series of cloud-native virtualized network functions (VNFs) and created suitable service descriptors. Their light-weight, stateless deployment on Kubernetes enables quick instantiation, scalability, and robustness.","lang":"eng"}],"language":[{"iso":"eng"}],"ddc":["000"],"keyword":["5G","NFV","Smart Manufacturing","Cloud-Native","Kubernetes"]}]