Computer Science ›› 2020, Vol. 47 ›› Issue (11A): 373-379.doi: 10.11896/jsjkx.200500106

• Information Security • Previous Articles     Next Articles

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.

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

CLC Number: 

  • O225
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