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Paper Abstract and Keywords
Presentation 2010-03-05 09:10
On Distributed Sampling Storage for Sensor Data Mining -- focusing on basic behavior analysis of statistics --
Hiroshi Sato, Takeru Inoue, Takahiro Yamazaki, Yohei Katayama, Noriyuki Takahashi (NTT) IN2009-183
Abstract (in Japanese) (See Japanese page) 
(in English) Thanks to advances in sensor devices and networking technologies, it is becoming possible to retrieve the statuses of people, objects, and environments as data in real-time. It is expected that, in future networks, very large quantities of such data will be generated, disseminated via advanced networks, translated into fruitful information by data-mining schemes, and utilized for various services. Give those goals, data storage is one of the key technologies. Therefore, we propose a novel architecture for the distributed storage of sensor data. It is designed for efficient statistical processing. The proposed storage system is highly scalable, and fault-tolerant, and inherently offers a sampling function. In addition, it has a framework to ensure the accuracy of the statistics so generated. In this paper, we formalize the statistics of the stored data; simulations are conducted to provide a behavior analysis of the statistics.
Keyword (in Japanese) (See Japanese page) 
(in English) distributed database / random sampling / sensor network / stream data / / / /  
Reference Info. IEICE Tech. Rep., vol. 109, no. 449, IN2009-183, pp. 235-240, March 2010.
Paper # IN2009-183 
Date of Issue 2010-02-25 (IN) 
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)
Download PDF IN2009-183

Conference Information
Committee NS IN  
Conference Date 2010-03-04 - 2010-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyazaki Phoenix Seagaia Resort (Miyazaki) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General, NS+IN workshop (March 4-5) 
Paper Information
Registration To IN 
Conference Code 2010-03-NS-IN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On Distributed Sampling Storage for Sensor Data Mining 
Sub Title (in English) focusing on basic behavior analysis of statistics 
Keyword(1) distributed database  
Keyword(2) random sampling  
Keyword(3) sensor network  
Keyword(4) stream data  
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1st Author's Name Hiroshi Sato  
1st Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation. (NTT)
2nd Author's Name Takeru Inoue  
2nd Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation. (NTT)
3rd Author's Name Takahiro Yamazaki  
3rd Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation. (NTT)
4th Author's Name Yohei Katayama  
4th Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation. (NTT)
5th Author's Name Noriyuki Takahashi  
5th Author's Affiliation NTT Network Innovation Laboratories, NTT Corporation. (NTT)
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Speaker Author-1 
Date Time 2010-03-05 09:10:00 
Presentation Time 20 minutes 
Registration for IN 
Paper # IN2009-183 
Volume (vol) vol.109 
Number (no) no.449 
Page pp.235-240 
#Pages 6 
Date of Issue 2010-02-25 (IN) 

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