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New Technology of Library and Information Service  2012, Vol. 28 Issue (2): 60-67    DOI: 10.11925/infotech.1003-3513.2012.02.10
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Analysis of MapReduce Principle and Its Main Implementation Platforms
Kang Liyun, Wang Xiaoyue, Bai Rujiang
Institute of Scientific & Technical Information, Shandong University of Technology, Zibo 255049, China
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Abstract  Due to the problems in processing speed, storage space, fault tolerance, access time and others of massive data processing, this paper analyzes principle, implementation process of Google MapReduce programming model, introduces four main MapReduce implementation platforms,including Hadoop, Phoenix, Disco and Mars.Then,it separately compares them in four aspects as the programming language, building platform, functions and features, applications to have a comprehensive understanding of MapReduce programming model and it's application platforms.
Key wordsMapReduce      Implementation platform      Hadoop      Phoenix      Disco      Mars     
Received: 21 September 2011      Published: 23 March 2012

G250 TP391


Cite this article:

Kang Liyun, Wang Xiaoyue, Bai Rujiang. Analysis of MapReduce Principle and Its Main Implementation Platforms. New Technology of Library and Information Service, 2012, 28(2): 60-67.

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