云平台的任务合理化调度模型仿真分析  

Modeling and Simulation of Rationalized Task Scheduling on Cloud Platform

作　　者：程邺华[1] 

机构地区：[1]河北工程大学信息与电气工程学院,河北邯郸056038

出　　处：《计算机仿真》2016年第5期376-379,共4页Computer Simulation

摘　　要：针对云平台的任务逐渐增加,任务调度之间的关联性逐渐被海量的任务量打破,导致任务调度的优先级也存在较强的非线性,当前的云平台任务调度模型,已经无法运用准确的约束关系确定先后顺序,造成任务请求缺失率高、资源空闲时间高和资源利用率低等弊端,提出一种模糊云平台的任务合理化调度模型,对模糊云平台任务调度问题进行了描述,分析了平台调度任务量与平均响应时间之间匹配关系,对任务优先级进行计算,得到优先级后,将其插入对应的任务队列中进行处理。分析云平台分配任务过程中平均响应时间等动态模糊特征,引入时间点概念,完成对所有时间点的处理,优先调度优先级等级高的云平台分配任务。利用任务分配优先级最大化云平台的执行任务量,最小化云平台的平均响应时间。仿真结果表明,所提模型降低了云平台平均响应时间,提高了资源的利用率。A rationalized task scheduling model based on fuzzy cloud platform is proposed.The task scheduling problem on fuzzy cloud platform is described,and the matching relationship between the scheduling task load on the platform and the average response time is analyzed.The priority of task is calculated and inserted into the corresponding task queue for processing.The dynamic fuzzy characteristics such as the average response time in the process of assigning task on the cloud platform are analyzed,the concept of time points is introduced,and all time points are treated.The task with high priority is preferentially scheduled and assigned on the cloud platform.The priority of task allocation is used to maximize the execution tasks and minimize the average response time on the cloud platform.The simulation results show that the proposed model reduces the average response time of cloud platform,and improves the utilization rate of resources.

关 键 词：云平台 任务 调度 合理化 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]