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基于合作博弈的网格资源分配 被引量:10

Grid resources allocation based on cooperation game
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摘要 针对网格资源分配中的竞争问题,提出了一种合作博弈的方法,通过建立用户的评估函数,使得竞争同一资源的多个用户能够结成联盟来增加整体效用,其中用户分得的资源份额取决于出价水平.着重研究了联盟中用户的评估函数并证明了其满足非联盟评估函数的性质,因此在资源竞争中联盟成为有效的参与者.分析表明,该方法不仅可产生惟一的纳什均衡,而且能够为联盟用户带来更多的收益,从而实现帕累托改进. A cooperation game-based method is proposed to address the problem of competition in grid resources allocation. Through establishing valuation function of grid user, a coalition with muhiple users is formed to increase the utility, where the resources partition gained by user depend on the bidding level. The valuation function is studied in emphasis, and its characteristics are proved to be consistent with those of valuation function out of the coalition. Hence, coalition is an efficient player during the resources allocation competition. The analyses show that the proposed method can generate a unique Nash equilibrium, and a coalition of users performs better than a single user, and then can realize the Pareto improvement.
出处 《大连理工大学学报》 EI CAS CSCD 北大核心 2007年第6期909-913,共5页 Journal of Dalian University of Technology
基金 国家自然科学基金资助项目(50479055)
关键词 网格 资源分配 合作博弈 纳什均衡 grid resources allocation cooperation game Nash equilibrium
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参考文献14

  • 1FOSTER I. The grid: computing without bonds [J]. Sci Amer, 2003, 288(4): 78-85.
  • 2YANG Guang-wen, JIN Hai, LI Ming-lu, et al. Grid computing in China [J]. J Grid Comput, 2004, 2(2): 193-206.
  • 3JIN Hai. Challenges of grid computing[C] .Advances in Web-Age Information Management: 6th International Conference, LNCS 3739. Berlin:Springer-Verlag, 2005 : 25-31.
  • 4KRAUTER K, BUYYA R, MAHESWARAN M. A taxonomy and survey of grid resource management system for distributed computing [J]. Software: Practice and Experience, 2002, 32(2) : 135-164.
  • 5丁箐,陈国良,顾钧.计算网格环境下一个统一的资源映射策略[J].软件学报,2002,13(7):1303-1308. 被引量:60
  • 6BUYYA R, ABRAMSON D, GIDDY J, et al. Economic models for resource management and scheduling in grid computing [J]. Concurrency and Computation: Practice and Experience, 2002, 14(13-15) : 1507-1542.
  • 7CHENG J, WELLMAN M. The WALRAS algorithm: a convergent distributed implementation of general equilibrium outcomes[J]. Comput Econ, 1998, 12(1): 1-24.
  • 8翁楚良,陆鑫达.一种基于市场机制的网格资源调价算法[J].计算机研究与发展,2004,41(7):1151-1156. 被引量:26
  • 9KAKARONTZAS G, LALIS S. A market-based protocol with leasing support for globally distributed computing [C]. Proceedings of the First IEEE/ACM International Symposium on Cluster Computing and the Grid. Washington D C.. IEEE Computer Society, 2001:562-567.
  • 10LI C L, LI L Y. Competitive proportional resource allocation policy for computational grid [J]. Future Gen Comput Syst, 2004, 20(6): 1041-1054.

二级参考文献29

  • 1翁楚良,陆鑫达.一种基于市场机制的网格资源调价算法[J].计算机研究与发展,2004,41(7):1151-1156. 被引量:26
  • 2张武生,杨广文,沈美明,郑纬民.RSDictionary——一种用于分布式计算环境的全局名字空间[J].计算机研究与发展,2005,42(8):1409-1414. 被引量:2
  • 3[1]Foster, I., Kesselman, C. The Grid, Blueprint for a New Computing Infrastructure. San Francisco: Morgan Kaufmann Publishers Inc., 1998. 279~309.
  • 4[2]Czajkowski, K., Foster, I. A resource management architecture for metacomputing systems. In: Feitelson, D.G., Rudolph, L., eds. Proceedings of the 4th Workshop on Job Scheduling Strategies for Parallel Processing. LNCS 1459, Orlando: Springer-Verlag, 1998. 62~82.
  • 5[3]Sekiguchi, S., Sato, M. Ninf: network based information library for globally high performance computing. In: Proceedings of the Parallel Object-Oriented Methods and Applications (POOMA). 1996. 39~48. http://www.acl.lanl.gov/Pooma96/.
  • 6[4]Freund, R., Gherrity, M. Scheduling resources in multi-user, heterogeneous computing environments with Smarnet. In: Proceedings of the 7th Heterogeneous Computing Workshop (HCW'98), IEEE Computer Society Press, 1998. 184~199. http://dlib.computer. org/ conferen/ hcw/8365/pdf/83650003.pdf.
  • 7[5]Iverson, M., Ozguner, F. Dynamic, competitive scheduling of multiple DAGs in a distributed heterogeneous environment. In: Proceedings of the 7th Heterogeneous Computing Workshop (HCW'98). IEEE Computer Society Press, 1998. 70~78. http://dlib. computer. org/ conferen/hcw/8365/pdf/83650070.pdf.
  • 8[6]Wang, L., Siegel, H.J., Roychowdhury, V.P., et al. Task matching and scheduling in heterogeneous computing environments using a genetic algorithm based approach. Journal of Parallel and Distributed Computing, 1997,47(1):8~22.
  • 9[7]Foster, I., Roy, A., Winkler, L. A quality of service architecture that combines resource reservation and application adaptation. In: Proceedings of the 8th International Workshop on Quality of Service (IWQOS 2000). 2000. 181~188. http://www.globus.org/ documentation/ incoming/iwqos_adapt1.pdf.
  • 10[8]Armstrong, R., Hensgen, D., Kidd, T. The relative performance of various mapping algorithm is independent of sizable variance in run-time predictions. In: Proceedings of the 7th Heterogeneous Computing Workshop (HCW'98). IEEE Computer Society Press, 1998. 79~87. http://dlib.computer.org/conferen/hcw/8365/pdf/83650079.pdf.

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