Research on Load Balancing Based on Cloud Computing

ZHANG Shui-ping; PANG Min; ZHONG Wei-biao; HE Ying-sheng

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Research on Load Balancing Based on Cloud Computing

更新时间：2026-09-04

- Research on Load Balancing Based on Cloud Computing
- Vol. 31, Issue 8, Pages: 49-52(2014)
- 作者机构：
  
  1. 江西理工大学机构现代教育技术及信息中心,江西,赣州,341000
  2. 江西理工大学信息工程学院,江西,赣州,341000
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
移动端阅览
张水平, 庞敏, 仲伟彪, 何迎盛. 基于云环境下的负载均衡算法研究[J]. 微电子学与计算机, 2014, 31(8): 49-52.

ZHANG Shui-ping, PANG Min, ZHONG Wei-biao, et al. Research on Load Balancing Based on Cloud Computing[J]. 2014, 31(8): 49-52.
张水平, 庞敏, 仲伟彪, 何迎盛. 基于云环境下的负载均衡算法研究[J]. 微电子学与计算机, 2014, 31(8): 49-52. DOI：

ZHANG Shui-ping, PANG Min, ZHONG Wei-biao, et al. Research on Load Balancing Based on Cloud Computing[J]. 2014, 31(8): 49-52. DOI：

摘要

针对传统遗传算法易陷入局部解等缺点

提出了一种改进的元胞遗传算法

并将其运用到云环境下的负载均衡中.在云环境中

由于用户任务请求量大

会出现有些服务器过载

而有些服务器闲散的问题

利用该算法找到能提高服务器利用率的方法.在Clousim3.0仿真平台上进行试验

结果表明

该算法能提高服务器利用率

缩短任务完成时间.

Abstract

To the problem of traditional genetic Algorithm to local solution

this paper proposes a improved cellular genetic algorithm and applys to the load balancing under cloud computing.Under the cloud environment

because of the large amount of request

some servers get overloaded

but others are free

takes use of this algorithm to search for a way to improve servers utilization.Taking the experiment under the Cloudsim3.0

the results shows that this algorithm can improve servers utilization and reduce the whoe makespan.

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Related Institution

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