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服务器集群负载均衡的建模与仿真研究

Research on Model and Simation of Load Balance for Server Cluster

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【作者】 许海成傅锦伟

【Author】 XU Hai-cheng,FU Jin-wei(Honghe University Computer Science Department,Mengzi Yunnan 661100,China)

【机构】 红河学院计算机科学系

【摘要】 研究服务器集群负载优化调试问题,各服务器负载能力差异较大,要求尽可能使每一个服务器的负载均衡,传统方法没有考虑负载动态变化特点,导致服务器集群负载极不均衡,系统性能差。为提高集群系统的整体性能,提出一种基于遗传算法的服务器集群负载均衡算法。首先根据负载均衡目标建立数学模型,然后采用遗传算法模型进行求解。仿真结果表明,遗传算法提高了服务器集群系统吞吐量,使系统负载更加均衡,使整个集群系统的资源得到充分利用。

【Abstract】 Research of server cluster load optimization debugging problems.Because of the differences in server performances,It is difficult for the traditional enumeration method to accurately balance loads,leading to the unbalanced loads and poor system performances.In order to improve the whole performances of the cluster system,the paper put forward a genetic algorithm based on server cluster load balancing algorithm.Combined with the server load balancing cluster features,the standard genetic algorithm was improved,and the simulation experiments were implemented.The experimental results show that the improved algorithm can improve the system throughput,shorten the average system time,so that the whole cluster system resources are fully utilized.

  • 【文献出处】 计算机仿真 ,Computer Simulation , 编辑部邮箱 ,2012年03期
  • 【分类号】TP393.05
  • 【被引频次】16
  • 【下载频次】261
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