Sustaining Incentive in Grid Resource Allocation: A Reinforcement Learning Approach.
Li LinYu ZhangJinpeng HuaiPublished in: CCGRID (2007)
Keyphrases
- resource allocation
- reinforcement learning
- grid environment
- social welfare
- game theory
- grid services
- grid computing environment
- grid resource
- function approximation
- resource management
- resource allocation problems
- resource sharing
- grid computing
- optimal resource allocation
- state space
- allocation problems
- resource requirements
- model free
- temporal difference
- multi agent
- distributed resource allocation
- optimal policy
- resource providers
- resource allocation and scheduling
- resource allocation decisions
- allocate resources
- allocation strategies
- markov decision processes
- reinforcement learning algorithms
- computational grids
- resource consumption
- learning algorithm
- grid systems
- combinatorial auctions
- dynamic programming
- grid infrastructure
- resource usage
- learning process
- scarce resources
- learning agent
- market equilibrium