模糊弹性控制策略下的云平台数据调度模型仿真

Cloud Data Scheduling Model Simulation Under the Fuzzy Flexibility Control Strategy

传统云计算平台调度方案,存在请求缺失率高、资源空闲时间高以及资源利用率降低等问题,提出了一种应用SssS的模糊弹性云优化调度方案,分析SaaS云平台弹性优化调度指标,避免资源的过量和欠量分配,提供了弹性云平台调度任务量和平均响应时间的匹配关系,依据云平台弹性调度指标和模糊调度算法,将SaaS云平台分配任务集按照不同优先级进行划分,优先级等级高的任务优先调度,确保更多的重要任务得到调度,最大化SaaS云平台的执行任务量,最小化平台的平均响应时间,使云平台处于相对稳定的状态。实验结果表明,该调度方案能够优化云平台资源的使用效率和服务响应时间,提高了总执行效率,节省了云资源,具有较高的节能开销比和用户满意度。

Traditional cloud computing platform scheduling scheme, high rate of absence request, such problems as high resource utilization and reduce the idle time, this paper proposes a fuzzy elastic cloud application SssS the optimization scheduling solution, analysis of SaaS cloud platform elastic optimization scheduling index, avoid heavy and owe the allocation of the resources provided the elastic cloud platform for scheduling tasks and the average response time, the matching relation between cloud platform based on flexible scheduling index and fuzzy scheduling algorithm, SaaS cloud platform tasks set according to the different priorities, the priority rank high task priority scheduling, make sure that the more important tasks scheduling, maximize SaaS cloud platform mission capacity, minimize the average response time of the platform, make the cloud platform is in a state of relative stability. The experimental results show that the proposed scheduling scheme can optimize the use of cloud platform resource efficiency and service response time, improve the overall execution efficiency, save the cloud resources, has the high energy cost ratio and user satisfaction.