[1]高莉莎[],刘正涛[][],应毅[]. 基于应用程序的MapReduce性能优化[J].计算机技术与发展,2015,25(07):96-99.
　GAO Li-sha[],LIU Zheng-tao[][],YING Yi[]. Performance Optimization of MapReduce Based on Applications[J].,2015,25(07):96-99.
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 基于应用程序的MapReduce性能优化()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年07期
页码:
96-99
栏目:
智能、算法、系统工程
出版日期:
2015-07-10

文章信息/Info

Title:
 Performance Optimization of MapReduce Based on Applications
文章编号:
1673-629X（2015)07-0096-04
作者:
 高莉莎[1];  刘正涛[2][3];  应毅[3]
 1.南京供电公司；2.南京航空航天大学 信息科学与技术学院；3.三江学院 计算机科学与工程学院
Author(s):
 GAO Li-sha[1];  LIU Zheng-tao[2][3] ; YING Yi[3]
关键词:
 ; MapReduce ; 应用程序; 性能优化; in-Map Reduce ; 小文件优化
Keywords:
 ; MapReduce; application; performance optimization; in-Map Reduce; tuning for small files
分类号:
TP316.4
文献标志码:
A
摘要:
 针对MapReduce框架执行效率不佳的问题，对MapReduce性能优化的多个方案进行了研究。首先阐述了云计算的定义、特征以及专用批处理PaaS平台Hadoop的组成，之后简单介绍了MapReduce框架和MapReduce框架下的应用程序开发，接着着重讨论了MapReduce性能优化的三个主流方向：系统实现优化、参数调优、应用程序优化。并从应用程序着手，提出多个解决方法，进行了in-Map Reduce优化算法、脚本语言/编译语言对比、小文件预处理优化等多个实验，最后对优化技术和实验数据进行了分析。实验结果表明，优化应用程序是提高MapReduce性能的有效手段。
Abstract:
 For the problem of poor execution efficiency under MapReduce framework,multiple solutions on performance optimization of MapReduce is studied. Firstly,the cloud computing definition and its characteristics,Hadoop composition are described in detail,then the framework of MapReduce and application development under the framework is introduced in this paper. Three main directions of perform-ance optimization for MapReduce are also discussed,including the system optimization realized,parameters optimized and application op-timization. Furthermore,multiple solutions are put forward from the application viewpoint,including in-Map Reduce optimization algo-rithm,script language/compile language contrast experiment,tuning for small files. Lastly,analyze optimization technique and experimen-tal data. The experimental results show that the optimized application is an effective means to improve the performance of MapReduce.

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更新日期/Last Update: 2015-09-07