@inproceedings{3079308a9e404596995690c1b38fa5f9,
title = "Sfc2cpu: Operating a Service Function Chain Platform with Neural Combinatorial Optimization",
abstract = "Service Function Chaining realized with a microservice based architecture results in an increased number of computationally cheap Virtual Network Functions (VNFs). Pinning cheap VNFs to dedicated CPU cores can waste resources since not every VNF fully utilizes its core. Thus, cheap VNFs should share CPU cores to improve resource utilization. sfc2cpu learns efficient VNF to core assignments that increase throughput and reduce latency compared to three baseline algorithms. To optimize VNF assignments, sfc2cpu uses game theory combined with Neural Combinatorial optimization in a novel way. Measurements in a real hardware testbed show that sfc2cpu increases throughput by up to 36% and reduces latency by up to 59% compared to Round Robin. We show that sfc2cpu can be incrementally deployed and easily integrated into existing infrastructures.",
keywords = "Digital Twin, Game Theory, Network Virtualization, Neural Combinatorial optimization, Reinforcement Learning",
author = "Patrick Kramer and Philip Diederich and Corinna Kramer and Rastin Pries and Wolfgang Kellerer and Andreas Blenk",
note = "Publisher Copyright: {\textcopyright} 2021 IFIP.; 17th IFIP/IEEE International Symposium on Integrated Network Management, IM 2021 ; Conference date: 17-05-2021 Through 21-05-2021",
year = "2021",
month = may,
day = "17",
language = "English",
series = "Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "196--205",
editor = "Toufik Ahmed and Olivier Festor and Yacine Ghamri-Doudane and Joon-Myung Kang and Schaeffer-Filho, {Alberto E.} and Abdelkader Lahmadi and Edmundo Madeira",
booktitle = "Proceedings of the IM 2021 - 2021 IFIP/IEEE International Symposium on Integrated Network Management",
}