云数据中心基于遗传算法的虚拟机迁移模型

his paper proposed and discussed a Genetic Algorithm based Virtual Machine Migration model in cloud data centers called GA-VMM. This paper took into account several important parameters to frame the objective function for the virtual machine migration which overwelmed the old stratgies and thus it made the virtual machine migration more reasonable and fair. It constructed the mathematics model of power consumption and live migration cost of virtual machine in GA-VMM. It designed a global optimization genetic algorithm for how virtual machine migrated and placed. Using a corporation cloud data centers servers, this paper did some simulation experiments . The experimental results show that GA-VMM can effectively reduce the number of physical machine usages and virtual machines migrations compared with the common strategy. This paper also obtained the fewer SLA violation and low energy consumption of data centers in the test.