A coalitional game based mechanism for resource sharing in geo-distributed mobile cloud computing

Yeru Zhao, Zhiwu Huang, Xiaoyong Zhang, Weirong Liu, Qianqian Zhang, Zhengfa Zhu
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引用次数: 3

Abstract

Geo-distributed mobile cloud computing takes location information into consideration in mobile cloud computing. Users can access cloud resources that are geographically close to their mobile devices in Geo-distributed mobile cloud computing to reduce communication delay. Considering the uncertainty requirement of mobile users, in this paper, we focus on resource sharing through cooperation among cloud providers. A coalitional game based mechanism is proposed for resource sharing to optimize the resources usage and reduce the cost of cloud service providers. The coalition game is adopted to form the coalition of cloud service providers and the stability of its structure is guaranteed. The cost distribution of resource usage by cloud service providers participating in coalition game is analyzed according to Shapley value method. Besides, the coalition resource sharing problem is transformed into the problem of resource cost minimization in the coalition, and the solution is obtained by the dual decomposition and the subgradient method. Simulation results validate the effectiveness of the proposed mechanism.
地理分布移动云计算中基于联盟博弈的资源共享机制
地理分布式移动云计算在移动云计算中考虑了位置信息。在地理分布式移动云计算中,用户可以访问地理位置靠近其移动设备的云资源,以减少通信延迟。考虑到移动用户的不确定性需求,本文重点关注云提供商之间的资源共享合作。提出了一种基于联盟博弈的资源共享机制,以优化资源使用,降低云服务提供商的成本。采用联盟博弈的方式形成云服务商联盟,保证了联盟结构的稳定性。根据Shapley值法,分析了云服务提供商参与联盟博弈的资源使用成本分布。将联盟资源共享问题转化为联盟中资源成本最小化问题,并采用对偶分解和次梯度法求解。仿真结果验证了该机制的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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