The POPCORN market.: online markets for computational resources
Decision Support Systems - Special issue on information and computational economics
Architectural Models for Resource Management in the Grid
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
Dynamic Mapping in a Heterogeneous Environment with Tasks Having Priorities and Multiple Deadlines
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
User-Centric Performance Analysis of Market-Based Cluster Batch Schedulers
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
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
Tycoon: An implementation of a distributed, market-based resource allocation system
Multiagent and Grid Systems
Fair Game-Theoretic Resource Management in Dedicated Grids
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
The performance of bags-of-tasks in large-scale distributed systems
HPDC '08 Proceedings of the 17th international symposium on High performance distributed computing
A Meta-scheduler with Auction Based Resource Allocation for Global Grids
ICPADS '08 Proceedings of the 2008 14th IEEE International Conference on Parallel and Distributed Systems
Efficient Grid Task-Bundle Allocation Using Bargaining Based Self-Adaptive Auction
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
Non-cooperative, semi-cooperative, and cooperative games-based grid resource allocation
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
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Obtaining maximal benefit is usually the most important goal pursued by Grid resource/service provider. As providers and users being noncooperative inherently, it is a fundamental challenge to design a resource allocation strategy which seems to be fair. In order to adapt to large-scale Grid environment, we adopted a hierarchical grid structure with bundle tasks to describe the Grid system. A model called Intra-Site Cooperative-game of Taskbundle (ISCT) was proposed, in which all subordinate resources participated in making profits. We calculated task market price based on the theoretical proof that the system would gain maximal global benefit if and only if it was in a balanced state. Then we determined the task allocation solution with solving the task assignment amount vector. An Intra-Site Global Benefit Maximization Allocation for Task-bundle (ISGBMAT) was presented, which converted the Grid task-bundle allocation problem into an iteration process involving retail price, market price and assignment amount of tasks. Extensive simulation experiments with real workload traces were conducted to verify our algorithm. The experimental results indicated that ISGBMAT could provide an effective solution with global benefit and completion time optimization and also adapt to dynamic Grid market.