The POPCORN market—an online market for computational resources
Proceedings of the first international conference on Information and computation economies
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
HPCASIA '04 Proceedings of the High Performance Computing and Grid in Asia Pacific Region, Seventh International Conference
Selfish grid computing: game-theoretic modeling and NAS performance results
CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
Fair Game-Theoretic Resource Management in Dedicated Grids
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Two level job-scheduling strategies for a computational grid
PPAM'05 Proceedings of the 6th international conference on Parallel Processing and Applied Mathematics
A Game-Theoretic Analysis of Grid Job Scheduling
Journal of Grid Computing
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Computational Grid is a promising platform that provides a vast range of heterogeneous resources for high performance computing. To grasp the full advantage of Grid systems, efficient and effective resource management and Grid job scheduling are key requirements. Particularly, in resource management and job scheduling, conflicts may arise as Grid resources are usually owned by different organizations, which have different goals. In this paper, we study the job scheduling problem in Computational Grid by analyzing it using game theoretic approaches. We consider a hierarchical job scheduling model that is formulated as a repeated non-cooperative game among Grid sites, which may have selfish concerns. We exploit the concept of Nash equilibrium as a stable solution for our game which eventually is convenient for every player.