4 papers
Efficient Data-Driven Network Functions
Zhiyuan Yao, Yoann Desmouceaux, Juan-Antonio Cordero-Fuertes +2
Cloud environments require dynamic and adaptive networking policies. It is preferred to use heuristics over advanced learning algorithms in Virtual Network Functions (VNFs) in prod…
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Zhiyuan Yao, Zihan Ding
This paper investigates the network load balancing problem in data centers (DCs) where multiple load balancers (LBs) are deployed, using the multi-agent reinforcement learning (MAR…
Multi-Agent Reinforcement Learning for Network Load Balancing in Data Center
Zhiyuan Yao, Zihan Ding, Thomas Clausen
This paper presents the network load balancing problem, a challenging real-world task for multi-agent reinforcement learning (MARL) methods. Traditional heuristic solutions like We…
Reinforced Workload Distribution Fairness
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. However, whe…