云计算中多服务器服务能力优化调度仿真

摘要

This article proposes a model for joint dispatching of multi-server based on quantum optimization.The energy consumption method is applied to combined scheduling process of service task,and the task with the shortest completion time in all servers is selected,then it is mapped to corresponding servers,and execution energy consumption of minimum task load in each server is calculated to complete selection of migration time of multi-server scheduling.The dynamic scheduling for multi-server is carried out via migration method of iteration-stop,and according to that,scheduling energy consumption of multi-server is minimized.The scheduling task of cloud computing server is completed in the minimum total time via model of multi-server combined scheduling,and the model is optimized via quantum optimization strategy.Thus,the load balancing of multi-server is realized.Simulation results show that the model can obtain higher degree of load balancing.It has higher level of resources utilization.%云计算中多服务器服务能力优化调度,能够有效实现云计算多服务器的负载均衡.对服务器服务能力的调度,需要对多服务器进行动态调度,以此最小化多服务器调度能耗,完成多服务器的服务能力的调度.传统方法以多服务器联合调度能耗最小为目标,调整适应度函数,但忽略了对服务器调度能耗的最小化处理,导致调度精度偏低.提出基于量子优化的多服务器联合调度模型.将能耗优化方法应用到服务任务联合调度过程中,选取在全部服务器上完成时间最短的任务,将其映射至对应的服务器上执行,计算最小任务量在各个服务器上的执行能耗,完成多服务器调度迁移时机的选取,基于迭代-停止迁移方法对多服务器进行动态调度,以此最小化多服务器调度能耗,通过多服务器联合调度模型使云计算服务器以最少的总时间来完成调度任务,利用量子优化策略对多服务器联合调度模型进行优化,实现多服务器负载均衡.实验结果表明,所提模型能够获得更高的负载均衡度,且资源利用率较高.