云计算和多维QoS环境中基于蚁群优化算法在虚拟机资源负载均衡问题中的研究  

Research of Virtual Machine Load Balancing Based on Ant Colony Optimization in Cloud Computing and Muiti-dimensional QoS

作　　者：张牧[1] 

机构地区：[1]成都体育学院信息技术中心,成都610041

出　　处：《计算机科学》2013年第11A期60-62,共3页Computer Science

基　　金：成都体育学院院级课题(YJ1103)资助

摘　　要：针对云计算环境中虚拟机资源负载均衡问题,并为实现云计算下虚拟机资源负载均衡高效调度以满足用户的QoS需求,提出了一种基于多维QoS实现负载均衡的虚拟机资源调度方法。首先,在云计算环境下建立多维QoS网络环境的数学模型;然后,提出一种基于蚁群算法的优化算法,用于实现云计算环境中虚拟机资源高效调度;最后,在云仿真平台CloudSim上进行仿真实验。实验结果表明,相对于其他资源调度算法,所提算法能高效解决云计算下虚拟机资源调度问题,减少虚拟机资源负载均衡离差,具有更好的性能,能完全满足云计算下和多维QoS环境下虚拟机资源负载均衡的需求。Aiming at Virtual Machine load balancing problem in Cloud computing, in order to realize the efficient scheduling of Virtual Machine load ba-lancing in Cloud computing and meet the user＇s QoS need, a Virtual Machine load balancing method based on Muiti-dimensional QoS is proposed. Firstly, the mathematical model of cloud resource scheduling is built,Then, a Virtual Machine load balancing algorithm based on ant colony optimization in Cloud computing and Muiti-dimensional QoS is intorduced, Finally, the CloudSim simulation experiment shows the algorithm can solve the Virtual Machine load balancing problem effectively, can reduce the load balance deviation and satisfy the need of Virtual Machine load balancing in Cloud computing.

关 键 词：蚁群优化 虚拟机 云计算 QoS 负载均衡 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]