An Energy-efficient Virtual Machine Placement Algorithm in Cloud Data Center

被引：0
|
作者：
Liu, Dan [1 ]
Sui, Xin [2 ]
Li, Li [1 ]
机构：
[1] Changchun Univ Sci & Technol, Coll Comp Sci & Technol, Changchun, Peoples R China
[2] Changchun Univ Sci & Technol, Coll Comp Sci & Technol, Jilin Prov Inst Educ, Changchun, Peoples R China
来源：
2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) | 2016年
关键词：
cloud computing; virtual machine; energy consumption;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The article puts forward an algorithm that combines Genetic Algorithm (GA) with Simulated Annealing (SA) which lower the energy consumption of the cloud data center. The energy-efficient virtual machine placement algorithm primarily accomplishes the population initialization according to the virtual machine placement rule and crossover, variation and correction. Finally, filter the new population on the basis of the metropolis rule. Experimental results show that the energy-efficient algorithm combines the advantages of GA and SA which have been improved a lot on global optimal solutions.
引用
收藏
页码：719 / 723
页数：5
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