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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | big data analysis / parallel processing / distributed processing / service composition |
Paper # | SC2014-28 |
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Committee | SC |
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Conference Date | 2015/3/20(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Services Computing (SC) |
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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 |
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