Presentation 2015-03-28
Software Infrastructure for Big Data Analysis on Heterogeneous Environment
Masahiro TANAKA, Kenjiro TAURA, Kentaro TORISAWA,
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Abstract(in English) Recently big data analysis has been attracting attention in a wide variety of domains. However, it is not trivial to run analysis programs on heterogeneous and large-scale computation environments. In this paper, we propose a software infrastructure for big data analysis and SaPO (Self-adaptive Persistent Object), which is an object designed for fast big data analyses using various analysis programs and management of analysis environment.
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Keyword(in English) big data analysis / parallel processing / distributed processing / service composition
Paper # SC2014-28
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Committee SC
Conference Date 2015/3/20(1days)
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Registration To Services Computing (SC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Software Infrastructure for Big Data Analysis on Heterogeneous Environment
Sub Title (in English)
Keyword(1) big data analysis
Keyword(2) parallel processing
Keyword(3) distributed processing
Keyword(4) service composition
1st Author's Name Masahiro TANAKA
1st Author's Affiliation National Institute of Information and Communications Technology()
2nd Author's Name Kenjiro TAURA
2nd Author's Affiliation Graduate School of Information Science and Technology, The University of Tokyo
3rd Author's Name Kentaro TORISAWA
3rd Author's Affiliation National Institute of Information and Communications Technology
Date 2015-03-28
Paper # SC2014-28
Volume (vol) vol.114
Number (no) 525
Page pp.pp.-
#Pages 6
Date of Issue