Publication | Closed Access
A novel multi-agent reinforcement learning approach for job scheduling in Grid computing
114
Citations
31
References
2010
Year
Artificial IntelligenceJob SchedulerEngineeringAgent Decision-makingSmart GridEnergy ManagementNovel Multi-agent ReinforcementGrid ApplicationSystems EngineeringComputer ScienceIntelligent SystemsMulti-agent LearningCombinatorial OptimizationMulti-agent PlanningJob SchedulingOperations Research
| Year | Citations | |
|---|---|---|
1998 | 26.8K | |
2005 | 25.7K | |
1953 | 2.4K | |
2005 | 1.9K | |
1998 | 1.1K | |
A taxonomy and survey of grid resource management systems for distributed computing K. Krauter, Rajkumar Buyya, Muthucumaru Maheswaran Software Practice and Experience Cluster ComputingNetwork Architecture (Supply Chain Management)EngineeringResource Management (Sustainable Manufacturing)Resource Management (Queueing Theory) | 2001 | 846 |
2002 | 616 | |
2005 | 479 | |
2003 | 449 | |
2006 | 411 |
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