DocumentCode :
2712198
Title :
A Game-Theoretic Resource Allocation Strategy with Purification Approach for Computational Grids
Author :
Hang Qin ; Lin Qiu
Author_Institution :
Comput. Sch., Yangtze Univ., Jingzhou
Volume :
1
fYear :
2008
fDate :
3-4 Aug. 2008
Firstpage :
18
Lastpage :
22
Abstract :
Under the context of grid environment, a methodology to define a sustainable, market-like resources allocation using economic and technical criteria is proposed. Based on the associated theory of sales, the resource allocation strategy is identified to address resource sharing and collaboration, which is economically efficient and necessary to allow the development of market instruments and the supply of demand. Scrutinizing the grid by taking into account an explicit purification of the mixed-strategy equilibrium, the model of cooperation and interaction between grid sites is achieved. In addition, the benefit from the respective grid system at a minimum cost and in an efficient manner is identified. The results show that the proposed approach has advantage over other scheduling schemes in optimizing incentives for both consumers and providers, leading to highly successful job execution and fair profit allocation.
Keywords :
game theory; grid computing; groupware; resource allocation; scheduling; computational grids; game-theoretic resource allocation strategy; purification approach; resource sharing; respective grid system; scheduling schemes; Algorithm design and analysis; Communication system control; Environmental economics; Environmental management; Grid computing; Instruments; Marketing and sales; Processor scheduling; Purification; Resource management; Computational Grid; Nash equilibrium; market-like; optimal strategies; scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3290-5
Type :
conf
DOI :
10.1109/CCCM.2008.194
Filename :
4609460
Link To Document :
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