计算机科学 ›› 2020, Vol. 47 ›› Issue (11A): 373-379.doi: 10.11896/jsjkx.200500106

• 信息安全 • 上一篇    下一篇

基于博弈论的空间数据中心私有云资源分配管理分析

翟永, 刘津, 刘磊, 陈杰   

  1. 国家基础地理信息中心 北京 100830
  • 出版日期:2020-11-15 发布日期:2020-11-17
  • 通讯作者: 刘津(liujin@ngcc.cn)
  • 作者简介:zhaiyong@ngcc.cn

Analysis of Private Cloud Resource Allocation Management Based on Game Theory in Spatial Data Center

ZHAI Yong, LIU Jin, LIU Lei, CHEN Jie   

  1. National Geomatics Center of China,Beijing 100830,China
  • Online:2020-11-15 Published:2020-11-17
  • About author:ZHAI Yong,born in 1969,master,professor.His main research interests include design and integration of spatial data storage system and network secu-rity.
    LIU Jin,born in 1989.Her main research interests include the design and maintenance of spatial databases and geographic information systems.

摘要: 针对空间数据中心私有云资源使用过程中存在的浪费和低效问题,采用算法博弈论的数学方法研究分析了用户资源占有的驱动动机,得出资源在用户之间均分时,在人人相互制衡的前提下全局满意度最大的结论。在此基础上,进一步分析了资源使用在个人优先前提下和集体优先前提下的使用特点,得出为保持全局满意度最大且能够可持续使用资源,采用集体优先前提下的资源分配模式更优的结论。基于上述两个结论,构建了集体优先前提下的以用户自治、IT管理部门支持为特征的资源分配与管理博弈模型,并给出了资源分配决策、用户行为分析和用户满意度评价的数学方法。通过结合空间数据中心资源使用实际数据进行计算,验证了所提出的资源分配与管理博弈模型和满意度评价方法的适用性。该算法对解决空间数据中心私有云资源利用率低下等问题具有参考价值。

关键词: 个人优先前提, 集体优先前提, 纳什均衡, 私有云资源, 算法博弈论, 自治分配

Abstract: In view of the problems of waste and inefficiency with the use of private cloud resources in spatial data centers,the driving motivation of user resource possession is analyzed by the mathematical method of algorithmic game theory.It is concluded that when resources are shared equally among users,the global satisfaction is the largest under the premise that everyone checks and balances each other.Based on the above conclusion,the characteristics of resource use under the premise of individual priority and collective priority are further analyzed.It is concluded that it is better to adopt a resource allocation model under the collective priority,which not only can maintain maximum global satisfaction,but also sustainable use of resources.Based on the above two conclusions,resource allocation and management game model is constructed,which features are user autonomy and IT management department support under the premise of collective priority,and the mathematical methods of resource allocation decision-making and user behavior analysis and user satisfaction evaluation are given.Then,the applicability of the proposed resource allocation and management game model and satisfaction evaluation method are verified by the calculation and verification of the actual data in the spatial data center.This algorithm has reference value for solving the problem of the low utilization rate of private cloud resources in the spatial data center.

Key words: Autonomy allocation, Collective priority, Game theory, Individual priority, Nash Equilibrium, Private cloud resource

中图分类号: 

  • O225
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