Presentation 2012-03-09
Impact of the Interconnection Network Structure on Shuffle Completion Time in MapReduce Processing
Tatsuma MATSUKI, Tatsuaki KIMURA, Tatsuya MORI, Tetsuya TAKINE,
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Abstract(in English) MapReduce processing, a typical distributed processing scheme in data centers, includes shuffle operation, where a massive amount of data are transferred between computation servers. In this article, we investigate the impact of the interconnection network structure on the shuffle completion time. For this purpose, we consider a simple tree structure and fat-tree strucure, and investigate their impact on the shuffle completion time through theoretical examination and simulation experiments.
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Keyword(in English) MapReduce processing / shuffle completion time / tree structure / fat-tree structure
Paper # IN2011-200
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Conference Date 2012/3/1(1days)
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Title (in English) Impact of the Interconnection Network Structure on Shuffle Completion Time in MapReduce Processing
Sub Title (in English)
Keyword(1) MapReduce processing
Keyword(2) shuffle completion time
Keyword(3) tree structure
Keyword(4) fat-tree structure
1st Author's Name Tatsuma MATSUKI
1st Author's Affiliation School of Engineering, Osaka University()
2nd Author's Name Tatsuaki KIMURA
2nd Author's Affiliation NTT Service Integration Laboratories
3rd Author's Name Tatsuya MORI
3rd Author's Affiliation NTT Service Integration Laboratories
4th Author's Name Tetsuya TAKINE
4th Author's Affiliation Graduate School of Engineering, Osaka University
Date 2012-03-09
Paper # IN2011-200
Volume (vol) vol.111
Number (no) 469
Page pp.pp.-
#Pages 6
Date of Issue