Reinforced Workload Distribution Fairness

no code implementations • 29 Oct 2021 • Zhiyuan Yao, Zihan Ding, Thomas Heide Clausen

Network load balancers are central components in data centers, that distributes workloads across multiple servers and thereby contribute to offering scalable services.

Fairness Reinforcement Learning (RL)

Towards Intelligent Load Balancing in Data Centers

1 code implementation • 27 Oct 2021 • Zhiyuan Yao, Yoann Desmouceaux, Mark Townsley, Thomas Heide Clausen

This paper proposes Aquarius to bridge the gap between ML and networking systems and demonstrates its usage in the context of network load balancers.