基于INSGA的云平台虚拟机调度算法  

Study on Virtual Machine Scheduling Algorithm Based on INSGA in the Cloud Platform

作　　者：潘晓君[1] Pan Xiaojun(Department of Electronics and Information, Anhui Business Vocational College, Hefei, Anhui 231100)

机构地区：[1]安徽工商职业学院电子信息系,安徽合肥231100

出　　处：《嘉兴学院学报》2016年第6期78-82,共5页Journal of Jiaxing University

基　　金：国家电子信息产业发展基金资助项目(信部运[2006]634号)

摘　　要：云平台环境中虚拟机资源的调度对云计算系统的资源利用率、能量消耗和服务质量有着非常重要的影响,它已成为人们当前研究的一个热点.针对虚拟机资源的调度,提出了一种改进的基于非支配排序的遗传算法INSGA(Improved Non-dominated Sorting Genetic Algorithm)对虚拟机资源进行部署,该算法在用户需求、系统性能和成本因素三个方面为决策者提供最优的选择.实验结果表明,基于INSGA的虚拟机调度算法在任务执行时间、负载均衡和能量消耗等三个方面均具有较好的性能.The scheduling of the virtual machine resource in the cloud platform environment has a very important impact on the resource utilization, energy consumption and service quality of the cloud computing system, and has become a research hot issne currently. The paper puts forward INSGA （Improved Non dominated Sorting Genetic Algorithm）to deploy virtual machines resources. INSGA provides optimal choices {or decisions makers in terms of users＇ needs, systemic functions and cost factors. According to the experiment result, INSGA-based virtual machine scheduling algorithm has excellent performances in task execution time, load balancing and energy consumption.

关 键 词：云平台 虚拟机资源 调度 负载均衡 

分 类 号：TP338[自动化与计算机技术—计算机系统结构]