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Paper Abstract and Keywords
Presentation 2013-06-17 14:35
High Performance of Big Data Processing via NICT Science Cloud
Fusako Isoda (Science Service), Ken T. Murata, Hidenobu Watanabe (NICT), Keiichiro Fukazawa (Kyushu Univ.), Kazunori Yamamoto (NICT), Osamu Tatebe, Masahiro Tanaka (Tsukuba Univ.), Eizen Kimura (Ehime Univ.) SC2013-4
Abstract (in Japanese) (See Japanese page) 
(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 100 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) 
(in English) ScienceCloud / Gfarm / Pwrake / Big data / Magnetspheric MHD simulation / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 86, SC2013-4, pp. 19-24, June 2013.
Paper # SC2013-4 
Date of Issue 2013-06-10 (SC) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee SC  
Conference Date 2013-06-17 - 2013-06-17 
Place (in Japanese) (See Japanese page) 
Place (in English) National Institute of Informatics 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SC 
Conference Code 2013-06-SC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) High Performance of Big Data Processing via NICT Science Cloud 
Sub Title (in English) * 
Keyword(1) ScienceCloud  
Keyword(2) Gfarm  
Keyword(3) Pwrake  
Keyword(4) Big data  
Keyword(5) Magnetspheric MHD simulation  
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1st Author's Name Fusako Isoda  
1st Author's Affiliation Science Service Co., LTD (Science Service)
2nd Author's Name Ken T. Murata  
2nd Author's Affiliation National Institute of Information and Communications Technology (NICT)
3rd Author's Name Hidenobu Watanabe  
3rd Author's Affiliation National Institute of Information and Communications Technology (NICT)
4th Author's Name Keiichiro Fukazawa  
4th Author's Affiliation Kyushu University (Kyushu Univ.)
5th Author's Name Kazunori Yamamoto  
5th Author's Affiliation National Institute of Information and Communications Technology (NICT)
6th Author's Name Osamu Tatebe  
6th Author's Affiliation Tsukuba University (Tsukuba Univ.)
7th Author's Name Masahiro Tanaka  
7th Author's Affiliation Tsukuba University (Tsukuba Univ.)
8th Author's Name Eizen Kimura  
8th Author's Affiliation Ehime University (Ehime Univ.)
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Speaker Author-1 
Date Time 2013-06-17 14:35:00 
Presentation Time 25 minutes 
Registration for SC 
Paper # SC2013-4 
Volume (vol) vol.113 
Number (no) no.86 
Page pp.19-24 
#Pages 6 
Date of Issue 2013-06-10 (SC) 

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