Presentation 2013-10-04
NICT Science Cloud : Big-data Analyses via Parallel and Distributed Processing Technique for Earth and Space Science
Fusako ISODA, Ken T., Hidenobu WATANABE, Keiichiro FUKAZAWA, Kazunori YAMAMOTO, Yasufumi KUBOTA, Yasuko KASAI, Shinsuke SATOH, Kentaro UKAWA, Kazuya MURANAGA, Yutaka SUZUKI, Takashi KUROSAWA, Eizen KIMURA, Osamu TATEBE, Masahiro TANAKA,
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Abstract(in English) Science cloud is a cloud system designed for scientific researches, and expected as a new infrastructure for big data sciences. Not only parallelization of CPU as in super-computers, but I/O and network throughput parallelization are crucial for the big data science. One of the typical structures of science cloud is a scalable cluster in which multiple clusters in a cloud are connected with high-speed network. In the present study, we study a performance of parallelization of both CPU and I/O inside a cloud as a first step to the high performance scalable clusters. In case with few processes executed on each computational node (server), parallelization efficiency is almost 100%. This high efficiency is expected to maintain in larger-scale cluster systems such as those with 30 servers. On the other hand, under the condition of multi-processes on each node, the present parallelization does not show good performance due to the congestions of I/O. Parallelization efficiency is as low as 15.6. New techniques of decentralization of I/O within each node are required in the next step.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Science Cloud / Gfarm / Pwrake / Big data / Earth Environment Science / Space Environment Science
Paper # PRMU2013-62
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Conference Information
Committee PRMU
Conference Date 2013/9/26(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) NICT Science Cloud : Big-data Analyses via Parallel and Distributed Processing Technique for Earth and Space Science
Sub Title (in English)
Keyword(1) Science Cloud
Keyword(2) Gfarm
Keyword(3) Pwrake
Keyword(4) Big data
Keyword(5) Earth Environment Science
Keyword(6) Space Environment Science
1st Author's Name Fusako ISODA
1st Author's Affiliation Sciece Service Co., LTD.()
2nd Author's Name Ken T.
2nd Author's Affiliation National Institute of Information and Communications Technology
3rd Author's Name Hidenobu WATANABE
3rd Author's Affiliation National Institute of Information and Communications Technology
4th Author's Name Keiichiro FUKAZAWA
4th Author's Affiliation Research Institute for Information Technology, Kyushu University
5th Author's Name Kazunori YAMAMOTO
5th Author's Affiliation National Institute of Information and Communications Technology
6th Author's Name Yasufumi KUBOTA
6th Author's Affiliation National Institute of Information and Communications Technology
7th Author's Name Yasuko KASAI
7th Author's Affiliation National Institute of Information and Communications Technology
8th Author's Name Shinsuke SATOH
8th Author's Affiliation National Institute of Information and Communications Technology
9th Author's Name Kentaro UKAWA
9th Author's Affiliation Systems Engineering Consultants Co., LTD.
10th Author's Name Kazuya MURANAGA
10th Author's Affiliation Systems Engineering Consultants Co., LTD.
11th Author's Name Yutaka SUZUKI
11th Author's Affiliation Systems Engineering Consultants Co., LTD.
12th Author's Name Takashi KUROSAWA
12th Author's Affiliation Hitachi Solutions East Japan, Ltd.
13th Author's Name Eizen KIMURA
13th Author's Affiliation Department of Medical Informatics Ehime University
14th Author's Name Osamu TATEBE
14th Author's Affiliation Center for Computational Sciences, University of Tsukuba
15th Author's Name Masahiro TANAKA
15th Author's Affiliation Center for Computational Sciences, University of Tsukuba
Date 2013-10-04
Paper # PRMU2013-62
Volume (vol) vol.113
Number (no) 230
Page pp.pp.-
#Pages 6
Date of Issue