A novel multi-agent reinforcement learning approach for job scheduling in Grid computing.
Jun WuXin XuPengcheng ZhangChunming LiuPublished in: Future Gener. Comput. Syst. (2011)
Keyphrases
- multi agent reinforcement learning
- job scheduling
- grid computing
- grid environment
- load balancing
- distributed computing
- multi agent
- resource management
- peer to peer
- reinforcement learning
- computing environments
- stochastic games
- learning agents
- multi agent systems
- cooperative
- distributed control
- multi agent learning
- fault tolerant
- fault tolerance
- database
- resource allocation
- cloud computing
- management system
- databases
- real time