重庆邮电大学学报（自然科学版）2016，Vol.28Issue(4)：567-574,8.DOI:10.3979/j.issn.1673-825X.2016.04.019
云计算环境下基于非均匀窗口蚁群行为的负载平衡算法
Load balancing algorithm based on non-uniform window ant colony behavior in cloud computing environment
摘要
Abstract
In view of request overloading and high response time in cloud computing environments,inspired by the idea of the non-uniform window ant colony behavior,a new load balancing algorithm is proposed.We introduce a working hypothe-sis that any virtual machine is under the condition of overloading,that is,the service provider has to allocate resources. According to the assumption,the available resources are optimized,where the dynamic and static agents are processed at the same time,and the ant colony behavior is used for load balance.System balance is achieved by means of loading re-sources into all virtual machines.The CloudSim simulation is used to emulator cloud environment for experiment analysis. Experimental results show that compared with load balancing of fault-tolerant cluster-aware(TCLB),scheduling strategy on load balancing(SSLB)and honey bee behavior inspired load balancing(HBB-LB),the responsible time of the proposed al-gorithm is less than that of TCLB,SSLB and HBB-LB by 37%,8% and 4% respectively.And the maximum completion time is also reduced significantly with overall improved performance.关键词
云计算/负载平衡/代理/蚁群行为/响应时间/最大完成时间Key words
cloud computing/load balancing/agents/ant colony behavior/responsible time/maximum completion time分类
信息技术与安全科学引用本文复制引用
张少辉,崔仲远,韩秋英..云计算环境下基于非均匀窗口蚁群行为的负载平衡算法[J].重庆邮电大学学报（自然科学版）,2016,28(4):567-574,8.基金项目
河南省科技厅软科学研究计划项目（142400411213）；河南省高等学校重点科研项目（15A520118） Foundation ItemsThe Soft Science Research Project from Science and Technology Department of Henan Province （142400411213）；The High School Key Research Projects of Henan Province （）
