Web: http://arxiv.org/abs/2201.11727

Jan. 28, 2022, 2:11 a.m. | Zhiyuan Yao, Zihan Ding, Thomas Clausen

cs.LG updates on arXiv.org arxiv.org

Network load balancers are central components in modern data centers, that
cooperatively distribute workloads of high arrival rates across application
servers, thereby contribute to offering scalable services. The independent and
"selfish" load balancing strategy is not necessarily the globally optimal one.
This paper represents the load balancing problem as a cooperative team-game
with limited observations over system states, and adopts multi-agent
reinforcement learning methods to make fair load balancing decisions without
inducing additional processing latency. On both a simulation and …

arxiv data data center

More from arxiv.org / cs.LG updates on arXiv.org

Machine Learning Product Manager (Europe, Remote)

@ FreshBooks | Germany

Field Operations and Data Engineer, ADAS

@ Lucid Motors | Newark, CA

Machine Learning Engineer - Senior

@ Novetta | Reston, VA

Analytics Engineer

@ ThirdLove | Remote

Senior Machine Learning Infrastructure Engineer - Safety

@ Discord | San Francisco, CA or Remote

Internship, Data Scientist

@ Everstream Analytics | United States (Remote)