计算机应用与软件2015，Vol.32Issue(5)：1-6,16,7.DOI:10.3969/j.issn.1000-386x.2015.05.001
Hadoop平台中 MapReduce调度算法研究
RESEARCH ON MAPREDUCE SCHEDULING ALGORITHM ON HADOOP PLATFORM
摘要
Abstract
MapReduce is a new parallel computing framework which has lots of advantages in many aspects, such as computing speed, fault tolerance and reliability, so it has been widely used in business applications and scientific research.The advantages and disadvantages of the scheduling algorithm, as the core component of MapReduce, have attracted a lot of attention because they directly affect the performance of MapReduce.After introducing and analysing the MapReduce parallel computing model, we present several related improved models, and on Hadoop-based platform we put the focus on studying common MapReduce scheduling algorithm and its improved algorithm.By comparative analysis, we further investigate the future development of MapReduce scheduling algorithm and provide an effective way to improve it.关键词
云计算/并行计算模型/Hadoop MapReduce/调度算法Key words
Cloud computing/Parallel computing model/Hadoop MapReduce/Scheduling algorithm分类
信息技术与安全科学引用本文复制引用
徐焕良,翟璐,薛卫,任守纲..Hadoop平台中 MapReduce调度算法研究[J].计算机应用与软件,2015,32(5):1-6,16,7.基金项目
国家科技部重大科技支撑计划项目(2011BAK21B05) （2011BAK21B05）
江苏基础研究计划(自然科学基金)项目( BK2012 363) （自然科学基金）
江苏省工业和信息产业转型升级专项引导资金项目(2011C1). （2011C1）
