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.
引用本文: 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, HE Ying-sheng. Research on Load Balancing Based on Cloud Computing[J]. Microelectronics & Computer, 2014, 31(8): 49-52.
Citation: ZHANG Shui-ping, PANG Min, ZHONG Wei-biao, HE Ying-sheng. Research on Load Balancing Based on Cloud Computing[J]. Microelectronics & Computer, 2014, 31(8): 49-52.

基于云环境下的负载均衡算法研究

Research on Load Balancing Based on Cloud Computing

  • 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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