基于多维QoS和云计算的资源负载均衡调度研究  

Resource Scheduling with Load Balance Based on Multi-dimensional QoS and Cloud Computing

作　　者：朱泽民[1] 张青[1] 

机构地区：[1]黄冈师范学院数学与计算机科学学院,湖北黄冈438000

出　　处：《计算机测量与控制》2013年第1期263-265,281,共4页Computer Measurement &Control

基　　金：湖北省自然科学基金项目(2011CDC028);湖北教育厅科研计划重点项目(D20122701);黄冈师范学院科学研究自然科学重点项目(2012009103)

摘　　要：为了实现云环境下虚拟资源的高效调度并满足用户QoS需求,提出了一种基于多维QoS能实现负载平衡的云资源调度方法;首先,建立了云资源调度的多维QoS数学模型,然后提出了一种基于蚁群算法实现云环境虚拟资源调度的算法,对信息素的初始化、虚拟机的选择以及信息素的更新等均进行了改进,并在算法中引入遗传变异因子以提高算法的收敛能力;实验结果表明:该算法能有效解决云环境下虚拟资源调度问题,减少负载均衡离差,较其它方法具有较大优越性,满足了云环境下资源调度的需求。In order to realize the efficient scheduling of virtual resource in cloud computing and meet the users＇ QoS need, a cloud re- source scheduling method based on multi--dimensional QoS satisfying the load balance is proposed. Firstly, the mathematical model of cloud resource scheduling is built, then a virtual resource scheduling algorism based on ant colony algorism based on cloud environment is intro- duced, the initialize of sophomore, the choose for virtual machine and the renew of sophomore were improved, and the gene mutation factor is used to improve the convergence ability. The experiment shows the algorism can solve the virtual resource scheduling problem effectively, can reduce the load balance deviation and satisfy the need of cloud environment.

关 键 词：资源调度 蚁群 云计算 负载均衡 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]