云计算负载均衡问题优化方法研究  

On the Optimization Method for Load Balancing Problem in Cloud Computing

作　　者：申子明[1] SHEN Ziming(Institute of Information and Electronic Engineering,Lu’an Vocational Technical College, Lu’an, Anhui 237000, China)

机构地区：[1]六安职业技术学院信息与电子工程学院

出　　处：《合肥师范学院学报》2019年第6期52-55,共4页Journal of Hefei Normal University

基　　金：安徽省职业与成人教育学会教育科研规划课题“以赛促教的创新教育机制研究”(Azjxh17119)

摘　　要：为提升云计算的服务质量与资源调度能力,从负载均衡问题着手,提出了一种负载均衡策略。在标准人工蜂群的基础上,对种群初始化进行优化,并引入差分进化算法与丛林法则来优化蜂群个体,还在算法中引入“吸引点”思想来提升蜂群的搜索能力。通过仿真实现结果显示,提出的负载均衡策略具有很强的优越性,任务完工与请求响应时间短,负载均衡性能明显优于标准人工蜂群算法和遗传算法。In order to improve the service quality and resource scheduling capability of cloud computing,a load balancing strategy is proposed from the perspective of load balancing.On the basis of the standard artificial colony,the population initialization is optimized.Differential evolution algorithm and the law of jungle are introduced to optimize the individual swarm,and the idea of"attraction point"is introduced into the algorithm to improve the searching ability of the swarm.Simulation results show that the proposed load balancing strategy is superior to the standard artificial swarm algorithm and genetic algorithm.

关 键 词：云计算 负载均衡 人工蜂群算法 仿真实验 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]