摘要
云计算平台下对服务资源进行均衡调度,能够更好地提升云计算系统的服务质量。对资源的均衡调度,需要将混沌理论和粒子群理论相结合,得到资源调度资源均衡度的目标函数,完成资源的均衡调度。传统方法通过模拟自组织退避行为对云计算资源均衡调度方案进行搜索,但忽略了调度资源均衡度的目标函数的求取,导致资源调度精度偏低。提出基于禁忌搜索的云计算平台下服务资源均衡调度方法。依据云计算调度系统的结构特点对云计算环境下的资源均衡资源调度问题进行形式化描述,设定任务资源均衡性阈值,利用上述阈值衡量任务资源均衡程度,将混沌理论和粒子群理论相结合,得到资源调度资源均衡度的目标函数,搜索云计算任务的最优服务资源均衡调度方案,完成对云计算资源调度。仿真结果表明,所提方法资源调度均衡性较好,有效地提升了云计算系统的服务质量。
This research focuses on an equilibrium scheduling method of service resource of cloud computing plat- form based on taboo search. The research carried out formal description for the equilibrium scheduling according to structural feature of scheduling system of cloud computing and set threshold value of task resource equilibrium, then used the threshold value to measure degree of task resource equilibrium. The research integrated chaos theory with particle swarm theory and obtained objective function of the degree of equilibrium. In addition, the research searched optimal equilibrium scheduling plan of service resource of cloud computing task. Simulation results show that the method has better equilibrium of resource scheduling and improves the quality of service of cloud computing system effectively.
出处
《计算机仿真》
北大核心
2017年第9期424-427,共4页
Computer Simulation
关键词
云计算
服务资源
均衡调度
Cloud computing
Service resource
Equilibrium scheduling
