Data Center Load Balancing Technology based on Ant Colony Optimization Algorithm

被引：0
|
作者：
Zhao, Qiang [1 ]
Jin, Lin [1 ]
Feng, Jianpeng [1 ]
机构：
[1] North China Elect Power Univ, Dept Control & Comp Engn, Beijing 102206, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON COMPUTATIONAL AND INFORMATION SCIENCES (ICCIS 2014) | 2014年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In the traditional companies' large data centers, due to the irrational use of resources, load imbalance caused a lot of waste of resources. This paper summarizes the latest research progress and problems of load balancing scheduling algorithm. We propose a placement algorithm based on ant colony optimization algorithm for virtual machines. In order to verify the performance of the algorithm, we implement the algorithm on the open source cloud simulation platform CloudSim. Through comparing with greedy strategy based placement algorithm and basic ant colony algorithm on the CloudSim platform, we demonstrate that the load balancing degrees of different resources in different issue scales are superior to other methods after using the ant colony optimization algorithm for virtual machines' placement.
引用
收藏
页码：1138 / 1143
页数：6
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