云计算环境中任务调度策略  

Scheduling Strategy Based on Cloud Computing

作　　者：王海涛[1] 张焕青[1] 肖世平[2] 张学平[1] 闫力[1] 

机构地区：[1]中国人民解放军理工大学,南京210007 [2]西安通信学院指挥控制系统系,西安710100

出　　处：《信息通信技术》2015年第6期57-63,共7页Information and communications Technologies

基　　金：国家自然科学基金资助项目(61072043)

摘　　要：在满足用户QoS的前提条件下,对海量任务进行高效调度并对云资源进行合理分配是云计算领域的一个研究热点。文章论述云计算环境下任务调度的概念、特点和目标,归纳了云计算任务调度的研究现状,并对传统任务调度算法、Hadoop中的任务调度算法、智能化的任务调度算法的实现机制和性能指标等进行了分析与比较。分析结果表明智能化任务调度算法性能优良且适应性强,是今后的研究重点。It is a research hotspot to occupy as little cloud resource as possible to achieve massive task for efficient scheduling and rational allocation of cloud resources under the precondition for user QoS. This paper discusses the concept, features and objectives of task scheduling in the cloud computing environment and summarizes its research status. It analyzes and compares the realizaiton mechanisms and performance index of traditional tasks scheduling algorithm, task scheduling algorithm of Hadoop and intelligent scheduling algorithm. The analysis result shows that intelligent scheduling algorithms have better adaptability and performance, so they should be studied extensively in the future.

关 键 词：大数据 云计算 任务调度 调度算法 

分 类 号：TP393.07[自动化与计算机技术—计算机应用技术]