Traffic Scenario Clustering and Load Balancing with Distilled Reinforcement Learning Policies.
Jimmy LiDi WuYi Tian XuTianyu LiSeowoo JangXue LiuGregory DudekPublished in: ICC (2022)
Keyphrases
- load balancing
- reinforcement learning
- resource utilization
- dynamic load balancing
- optimal policy
- fault tolerance
- peer to peer
- fault tolerant
- dynamic routing
- distributed systems
- peer to peer systems
- grid computing
- scheduling policies
- round robin
- load balance
- low overhead
- parallel database systems
- mobile agents
- hierarchical clustering
- real time
- data replication
- network traffic
- load balancing strategy
- replication scheme
- load balancing strategies
- load distribution
- state space
- database systems