计算机应用 ›› 2014, Vol. 34 ›› Issue (7): 1848-1851.DOI: 10.11772/j.issn.1001-9081.2014.07.1848

• 先进计算 • 上一篇    下一篇

协作式云资源博弈分配

张小庆1,岳强2,3   

  1. 1. 武汉轻工大学 数学与计算机学院,武汉 430023
    2. 中国科学院 云计算产业技术创新与育成中心,广东 东莞 523808;
    3. 国云科技股份有限公司,广东 东莞 523808
  • 收稿日期:2014-01-16 修回日期:2014-03-24 出版日期:2014-07-01 发布日期:2014-08-01
  • 通讯作者: 张小庆
  • 作者简介:张小庆(1984-),男,湖北武汉人,博士,主要研究方向:云计算;岳强(1963-),男,黑龙江望奎人,高级工程师,博士,主要研究方向:云计算
  • 基金资助:

    武汉轻工大学引进人才科研启动项目;武汉轻工大学引进人才科研启动项目

Cloud resource game allocation based on cooperation

ZHANG Xiaoqing1,YUE Qiang2,3   

  1. 1. School of Mathematics and Computer Science, Wuhan Polytechnic University, Wuhan Hubei 430023, China;
    2. Cloud Computing Center, Chinese Academy of Sciences, Dongguan Guangdong 523808, China;
    3. G-CLOUD Company Limited, Dongguan Guangdong 523808, China
  • Received:2014-01-16 Revised:2014-03-24 Online:2014-07-01 Published:2014-08-01
  • Contact: ZHANG Xiaoqing

摘要:

针对用户对云资源的异构性需求和竞争问题,提出了一种协作式资源分配博弈策略。建立了资源分配的协作式博弈模型,定义了协作博弈的用户效用函数和评估函数,证明了在该效用函数下协作博弈存在唯一Nash均衡,并讨论了用户组建联盟对协作特征函数和整体效用的影响。实验结果表明,在该协作博弈策略下,个体用户通过组建联盟集体出价的方式,能够为联盟用户带来更大效用,以收敛方式实现Pareto改进。

Abstract:

For the heterogeneity of user requirements and the competition in clouds, a cooperative resource allocation game strategy was presented. The cooperative game model of resource allocation was established and the utility function and the evaluation function of users were defined. Meanwhile, it was proved that there exists unique Nash equilibrium of cooperative game in utility function, and how users coalition effected on the charateristic function and the whole utility was discussed. The experimental results show that in this cooperative game strategy, the individual user in the coalition could gain more utility and a Pareto improvement is implemented with a convergence through building a user coalition with multiple users.

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