云计算中面向能耗降低的虚拟机多资源放置算法

Virtual machine multi-resource placement algorithmto reduce the energy consumption in the cloud computing

摘要:

为降低云计算系统产生的能耗,实现系统多类型资源的合理利用,提出虚拟机多资源能耗优化放置模型,并给出虚拟机多目标资源随机多组优化算法(RMRO)。RMRO算法随机生成多组虚拟机放置序列,并对每组序列进行优化,从中选出最优的序列作为最终的虚拟机序列。基于RMRO,进一步提出了3种虚拟机放置序列的再优化策略,通过实验对比,选择MMBA策略作为最佳策略。仿真结果表明,RMRO相比传统的MBFD和MBFH算法,能明显降低数据中心的能耗,同时使系统多种资源利用更合理。

Abstract:

To reduce the enormous energy produced by the cloud computing system and achieve reasonable utilization of a variety of resources, a virtual machine placing model with multi-resource energy consumption optimization is built and a virtual machine placement algorithm—multi-object resources random multiple sets re-optimization algorithm(RMRO) is proposed. In RMRO, the multi-group sequences of the virtual machine is randomly generated, and after each sequence is optimized , the optimal sequence is selected from the optimized multi-group sequences. Based on RMRO, to optimize the virtual machine allocation sequence , three kinds of policy is proposed. Through the experimental comparison , MMBA is selected as the optimal strategy. Compared to the traditional algorithms which include MBFD and MBFH , RMRO can significantly reduce energy consumption, and make a variety of resources more reasonable in the cloud computing system.