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.
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)
关键词
大数据
云计算
任务调度
调度算法
Big Data
Cloud Computing
Task Scheduling
Scheduling Algorithm
