A fuzzy rule-based meta-scheduler with evolutionary learning for grid computing.
Rocío Pérez de PradoSebastián García GalánAntonio J. YusteJ. Enrique Muñoz ExpósitoPublished in: Eng. Appl. Artif. Intell. (2010)
Keyphrases
- evolutionary learning
- grid computing
- scheduling strategy
- resource utilization
- cooperative behavior
- load balancing
- distributed computing
- resource management
- evolutionary computation
- peer to peer
- computing resources
- resource sharing
- grid environment
- grid systems
- data intensive
- computing environments
- scheduling algorithm
- service oriented computing
- high performance computing
- transparent access
- data grids
- grid services
- computing paradigm
- grid enabled
- computational grids
- digital libraries
- reinforcement learning
- heterogeneous computing
- data mining
- distributed environment
- genetic programming
- distributed systems
- response time
- expert systems
- multi agent
- multimedia