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一种混合遗传算法在云计算负载均衡中的应用研究

程国建 刘丽景 石彩云 朱凯

西安石油大学学报(自然科学版)2012,Vol.27Issue(2):93-97,5.
西安石油大学学报(自然科学版)2012,Vol.27Issue(2):93-97,5.

一种混合遗传算法在云计算负载均衡中的应用研究

程国建 1刘丽景 1石彩云 1朱凯1

作者信息

  • 1. 西安石油大学计算机学院,陕西西安710065
  • 折叠

摘要

Abstract

Genetic algorithm is widely applied in solving the complicated scientific and engineering problems. But because there are many limiting factors in the application of traditional GA in solving the optimization of multi-dimension function,the traditional GA algorithm can not applied to cloud computing. Multi-agent-genetic algorithm (MAGA) is a hybrid algorithm of GA with multi-agents, whose performance is far superior to that of the traditional GA. The advantages of MAGA over traditional GA are demonstrated,and then MAGA is used for solving the load balancing in cloud computing by designing a load balancing model on the basis of virtualization resource management. Finally, the experiment results prove that MAGA is able to achieve better performance of load balancing than Min_ min strategy.

关键词

云计算/负载均衡/多Agent遗传算法/虚拟化技术

Key words

cloud computing/ load balancing/ multi-agent genetic algorithm/ virtualization technique

分类

信息技术与安全科学

引用本文复制引用

程国建,刘丽景,石彩云,朱凯..一种混合遗传算法在云计算负载均衡中的应用研究[J].西安石油大学学报(自然科学版),2012,27(2):93-97,5.

基金项目

国家自然科学基金资助项目(编号:40872087) (编号:40872087)

西安石油大学学报(自然科学版)

OA北大核心CSTPCD

1673-064X

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