{"oa":"1","author":[{"full_name":"Schneider, Stefan Balthasar","last_name":"Schneider","id":"35343","orcid":"0000-0001-8210-4011","first_name":"Stefan Balthasar"}],"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"}],"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"}],"status":"public","year":"2021","citation":{"apa":"Schneider, S. B. (2021). <i>Conventional and Machine Learning Approaches for Network and Service Coordination</i>.","ieee":"S. B. Schneider, <i>Conventional and Machine Learning Approaches for Network and Service Coordination</i>. 2021.","mla":"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.","chicago":"Schneider, Stefan Balthasar. <i>Conventional and Machine Learning Approaches for Network and Service Coordination</i>, 2021.","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} }"},"user_id":"35343","date_created":"2023-01-10T15:08:50Z","file_date_updated":"2023-01-10T15:07:03Z","department":[{"_id":"75"}],"_id":"35889","keyword":["nfv","coordination","machine learning","reinforcement learning","phd","digest"],"title":"Conventional and Machine Learning Approaches for Network and Service Coordination","language":[{"iso":"eng"}],"ddc":["004"],"file":[{"access_level":"open_access","content_type":"application/pdf","relation":"main_file","date_created":"2023-01-10T15:07:03Z","date_updated":"2023-01-10T15:07:03Z","creator":"stschn","file_size":133340,"file_id":"35890","file_name":"main.pdf"}],"type":"working_paper","date_updated":"2023-01-10T15:09:05Z"}