MetisRL: A Reinforcement Learning Approach for Dynamic Routing in Data Center Networks.
Yuanning GaoXiaofeng GaoGuihai ChenPublished in: DASFAA (2) (2022)
Keyphrases
- dynamic routing
- data center
- reinforcement learning
- cloud computing
- load balancing
- heavy traffic
- cost effective
- virtual machine
- travel time
- energy consumption
- power consumption
- machine learning
- carbon dioxide
- state space
- transportation networks
- business continuity
- dynamic optimization
- special case
- steady state
- optimal policy
- real time