移动云计算中一种虚拟机定价与分配方案

A Scheme of Virtual Machine Pricing and Allocation in Mobile Cloud Computing

针对移动云计算中的虚拟机(virtual machine,VM)管理问题,提出了一种VM定价与分配方案(VM pricing and allocation,VMPA)。该方案考虑了业务量引起网络拥塞对用户效用的影响,根据Stackelberg博弈模型对VM的定价和分配进行了分析,证明了纳什均衡点的存在性和唯一性,给出了最优的静态VM价格及分配,并利用粒子群算法搜索最优的动态VM价格及分配。仿真结果表明,该方案能快速获得最优的VM价格及分配,可有效地控制小区中的业务量,减少网络拥塞,能同时优化云提供商和用户的效用。

To deal with the management of virtual machine in mobile cloud computing, a virtual machine pricing and allocation scheme is proposed. Considering the impact of service blocking to user utility, this scheme analyzed the virtual machine pricing and allocation by using Stackelberg game model. The closed-form expression of optimal pricing is derived and the optimal pricing is searched by the particle swarm algorithm for virtual machine static and dynamic scheduling, respectively. The experimental results show that our scheme can control the network blocking with pricing strategy and improve the utility of mobile users and cloud providers effectively.