云数据中心高能效的虚拟机迁移整合算法研究

Energy-Efficient Virtual Machine Migration and Consolidation Algorithm in Cloud Data Center

基于多资源能效模型,通过改进CPU双阈值法提出了多资源双阈值法触发虚拟机迁移,并将基于粒子群算法的虚拟机放置算法应用于虚拟机的能效整合。仿真实验结果表明,与传统的启发式算法相比,该算法有效地减少了物理节点的启用数量和虚拟机迁移次数,使系统资源利用率更加均衡。

An energy-efficient virtual machine （VM） migration and consolidation algorithm with multi-resource was proposed. The algorithm was developed based on a multi-resource energy efficiency model. A method of multi-resource utilization double threshold was designed to trigger migration of virtual machine, and the optical particle swarm optimization method was introduced in the consolidation of virtual machine. Compared with traditional heuristic algorithms, the algorithm reduces the number of active physical nodes and the amount of VM＇s migration effectively, and obtains better energy efficiency in cloud data center.