南京理工大学学报（自然科学版）2016，Vol.40Issue(3)：322-327,6.DOI:10.14177/j.cnki.32-1397n.2016.40.03.012
基于分组遗传算法的虚拟机放置方法
Virtual machine placement method based on grouping genetic algorithm
摘要
Abstract
To solve the problem of existing virtual machine placement methods that the initial placement target is one-sided and only focuses on one or two optimization objects ,a virtual machine initial placement method for multi-objective optimization is proposed here .Resource usage rate , system power and temperature are considered synthetically .Candidates of virtual machine placement solution are got based on an improved group genetic algorithm .The best virtual machine placement solution is selected by a multi-object fuzzy assessment algorithm .The simulation experiment results show that the proposed method can reduce the wasting of resources by 44% and server operation power by 3 kW.关键词
云计算/虚拟化/虚拟机放置/分组遗传算法/多目标优化/资源利用率/功率/温度Key words
cloud computing/virtualization/virtual machine placement/grouping genetic algorithm/multi-objective optimization/resource usage rate/power/temperature分类
信息技术与安全科学引用本文复制引用
李淑英,潘亚,费薇,徐建..基于分组遗传算法的虚拟机放置方法[J].南京理工大学学报（自然科学版）,2016,40(3):322-327,6.基金项目
国家自然科学基金 （）
