{"citation":{"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} }","chicago":"Werner, Stefan, Stefan Balthasar Schneider, and Holger Karl. “Use What You Know: Network and Service Coordination Beyond Certainty.” In <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>. IEEE, 2022.","short":"S. Werner, S.B. Schneider, H. Karl, in: IEEE/IFIP Network Operations and Management Symposium (NOMS), IEEE, 2022.","mla":"Werner, Stefan, et al. “Use What You Know: Network and Service Coordination Beyond Certainty.” <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>, IEEE, 2022.","ama":"Werner S, Schneider SB, Karl H. Use What You Know: Network and Service Coordination Beyond Certainty. In: <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>. 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.","apa":"Werner, S., Schneider, S. B., &#38; Karl, H. (2022). Use What You Know: Network and Service Coordination Beyond Certainty. <i>IEEE/IFIP Network Operations and Management Symposium (NOMS)</i>. IEEE/IFIP Network Operations and Management Symposium (NOMS), Budapest."},"user_id":"35343","department":[{"_id":"75"}],"_id":"29220","title":"Use What You Know: Network and Service Coordination Beyond Certainty","author":[{"full_name":"Werner, Stefan","last_name":"Werner","first_name":"Stefan"},{"first_name":"Stefan Balthasar","orcid":"0000-0001-8210-4011","full_name":"Schneider, Stefan Balthasar","id":"35343","last_name":"Schneider"},{"first_name":"Holger","last_name":"Karl","id":"126","full_name":"Karl, Holger"}],"publisher":"IEEE","status":"public","year":"2022","conference":{"end_date":"2022-04-29","start_date":"2022-04-25","location":"Budapest","name":"IEEE/IFIP Network Operations and Management Symposium (NOMS)"},"publication":"IEEE/IFIP Network Operations and Management Symposium (NOMS)","date_updated":"2022-01-11T08:44:04Z","type":"conference","language":[{"iso":"eng"}],"date_created":"2022-01-11T08:43:26Z","file_date_updated":"2022-01-11T08:39:57Z","keyword":["network management","service management","AI","Monte Carlo Tree Search","model-based","QoS"],"quality_controlled":"1","oa":"1","abstract":[{"lang":"eng","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."}],"has_accepted_license":"1","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"}],"file":[{"relation":"main_file","access_level":"open_access","content_type":"application/pdf","file_size":528653,"creator":"stschn","date_updated":"2022-01-11T08:39:57Z","date_created":"2022-01-11T08:39:57Z","file_name":"author_version.pdf","file_id":"29222"}],"ddc":["004"]}