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.
作者
潘晓君
Pan Xiaojun(Department of Electronics and Information, Anhui Business Vocational College, Hefei, Anhui 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)
关键词
云平台
虚拟机资源
调度
负载均衡
cloud platform
virtual machine resource
scheduling
load balancing
