Abstract
Resource providers and resources users in the computational grid system are composed of the two parties for gaming in fact. A multi-auctioneers prototype system based upon game theory (GT) for grid resource management is designed and implemented in this paper. The prototype system improves throughput of system in high throughput computing. Furthermore it prevents from the fraud actions, which come from dishonest auctioneer’s fraud action and user’s cahoots fraud action. The prototype system improves the performance and QoS for resource management of computational grid system greatly.
This work was supported by the National Natural Science Foundation of China under Grant No. 60473099.
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References
Foster, I., Kesselman, C. (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufman, San Francisco (1999)
Buyya, R.: Economic-based Distributed Resource Management and Scheduling for Grid Computing. Ph.D thesis. School of Computer Science and Software Engineering Monash University, Melbourne, Australia (April 2002)
Wurman, P.R., Wellman, M.P., Walsh, W.E.: Specifying Rules for Electronic Auctions. AI Magazine 23(3), 15–23 (2002)
Krauter, K., et al.: A Taxonomy and Survey of Grid Resource Management Systems. Software Practice and Experience 32(2), 135–164 (2002)
Wolski, R., Plank, J., Brevik, J.: G-Commerce–Building Computational Marketplaces for the Computational Grid (UT Tech. Rep. #CS-00-439)
Wolski, R., Plank, J., Brevik, J., Bryan, T.: Analyzing Market-based Resource Allocation Strategies for the Computational Grid (UT Tech. Rep. #CS-00-453)
Wolski, R., et al.: G-commerce-market formulations controlling resource allocation on the computational grid. Technical Report UT-CS-00-450, University of Tennessee (2000)
Klemperer, P.: Auction Theory: A Guide to the Literature. Journal of Economic Surveys 13(3) (1999)
Armstrong, M.: Optimal Multi_Object Auctions. Review of Economic Studies 67, 455–481 (2000)
Buyya, R., et al.: The Journal of Concurrency and Computation: Practice and Experience 14(13-15), 1175–1220 (2002)
Buyya, R.: Nimrod/G Problem Solving Environment and computational Economics, Grid Computing Environments Community Practice (CP) Document. In: Global Grid Forum (GGF)/First GGF Workshop, Amsterdam, The Netherlands, March 4-7 (2001)
Xi-quan, S.: Game Theory. SUFEP, 334 (2000) ISBN 7-81049-398-1/F (In Chinese)
wei-ying, Z.: Game theory and information economics. SHANGHAI RENMIN CHUBANSHE (1996) ISBN 7-208-02432-4
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Wu, Xc., Sha, Lj., Guo, D., Lou, Lf., Hu, L. (2005). GT-Based Performance Improving for Resource Management of Computational Grid. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_129
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DOI: https://doi.org/10.1007/11590354_129
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