基于云计算的海量碎片资源动态调度仿真

传统的资源调度方法处理的碎片资源偏散乱,对静态调度效果较好,但资源动态调度耗时长。提出基于云计算的海量碎片资源动态调度方法。量化处理海量碎片资源,并计算碎片资源对应的权值,判断碎片资源调用的优先级。依据碎片资源的优先级计算结果,利用云计算技术重组海量碎片资源。发布资源分配调度任务,确定资源调度的初始位置和速度,最后通过调度信息素更新、资源动态循环迭代控制和决策调度区间自适应调整三个步骤,实现海量碎片资源的动态调度。经过实验对比得出结论:传统的调度方法调度任务的平均时间为520秒,而基于云计算的海量碎片资源动态调度方法的平均消耗时间为350秒,相比之下节省了170秒,资源利用率较高。

Dynamic Scheduling Simulation of Massive Fragment Resources Based on Cloud Computing

Traditionally,the fragment resource is scattered.Although the traditional method has a good effect on static scheduling,the dynamic resource scheduling is time consuming.Therefore,a dynamic scheduling method for massive fragment resources based on cloud computing was proposed.At first,massive debris resources were quanti-fied and the weights corresponding to the fragment resources were calculated to determine the priority of fragment re-source calls.Based on the calculation results of priority of fragment resources,the cloud computing technology was used to reorganize massive fragment resource.Then,the resource allocation scheduling task was issued to determine the initial location and speed of resource scheduling.Finally,three steps of scheduling pheromone update,resource dynamic loop iterative control and decision scheduling interval adaptive adjustment were implemented to achieve dy-namic scheduling of massive fragment resources.Simulation results show that the scheduling average time of tradition-al method is 520 seconds,while the average consumption time of the proposed method is 350 seconds.Consequently,the resource utilization rate of proposed method is higher.