绿色云计算数据中心能耗资源调度优化关键技术研究

Research on key technologies of energy resource scheduling optimization in green cloud computing data center

云计算要想顺利实现其主要功能,离不开两大基础技术,分别是资源的分配和任务调度,其中,资源的分配效果将直接影响到云计算的运行效果和处理能力。基于此,有必要针对云计算数据中心的资源调度进行优化,从而降低云计算的能耗,同时有效提高云计算的运行效率。文章分析了基于传统Map Reduce调度模型,设计并行的Map Reduce资源分配算法,进而达到良好的能耗控制效果和运行效果,取得良好的实践运行效果。

In order to successfully realize its main functions,cloud computing is inseparable from two basic technologies,namely resource allocation and task scheduling.The distribution effect of resources will directly affect the operation effect of cloud computing and affect its processing capacity.Based on this,it is necessary to optimize the resource scheduling of the cloud computing data center,thereby reducing the energy consumption of the cloud computing and effectively improving the operational efficiency of the cloud computing.This paper analyzes the basis of the traditional Map Reduce scheduling model,and designs a parallel Map Reduce resource allocation algorithm to achieve good energy control effect and operation effect,and achieve good practical operation results.