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Paper Abstract and Keywords
Presentation 2014-07-30 11:35
Dynamic Load Balancing for Realtime Detection Framework
Yusuke Koyanagi, Kenji Kobayashi, Tateki Imaoka, Masazumi Matsubara, Yoshinori Sakamoto (Fujitsu) CPSY2014-37
Abstract (in Japanese) (See Japanese page) 
(in English) In various situations, more advanced detections from a large amount of time-series data are required,
and a realtime detection framework, which detects unknown anomaly and others from time-series data in realtime,
is needed. In this framework, the load for detection processes changes depending on not only the frequency of data,
but also the data which it stored for detection. For balancing the load on several nodes, it is difficult to choose more
effectual method based on the situation between input data balancing and stored data balancing. In this paper, we
propose the hybrid method of input data balancing and stored data balancing, responding to the increace of two
kinds of load, a processing load and a communication load, based on the situation. The experiment results show
the hybrid method balances the loads and decreases CPU load and latency responding to the increase of two kinds
of loads.
Keyword (in Japanese) (See Japanese page) 
(in English) realtime detection framework / dynamic load balancing / stream data processing / anomaly detection / / / /  
Reference Info. IEICE Tech. Rep., vol. 114, no. 155, CPSY2014-37, pp. 161-166, July 2014.
Paper # CPSY2014-37 
Date of Issue 2014-07-21 (CPSY) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
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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 CPSY DC  
Conference Date 2014-07-28 - 2014-07-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Toki Messe, Niigata 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Parallel, Distributed and Cooperative Processing 
Paper Information
Registration To CPSY 
Conference Code 2014-07-CPSY-DC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dynamic Load Balancing for Realtime Detection Framework 
Sub Title (in English)  
Keyword(1) realtime detection framework  
Keyword(2) dynamic load balancing  
Keyword(3) stream data processing  
Keyword(4) anomaly detection  
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1st Author's Name Yusuke Koyanagi  
1st Author's Affiliation Fujitsu LIMITED (Fujitsu)
2nd Author's Name Kenji Kobayashi  
2nd Author's Affiliation Fujitsu LIMITED (Fujitsu)
3rd Author's Name Tateki Imaoka  
3rd Author's Affiliation Fujitsu LIMITED (Fujitsu)
4th Author's Name Masazumi Matsubara  
4th Author's Affiliation Fujitsu LIMITED (Fujitsu)
5th Author's Name Yoshinori Sakamoto  
5th Author's Affiliation Fujitsu LIMITED (Fujitsu)
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Speaker Author-1 
Date Time 2014-07-30 11:35:00 
Presentation Time 25 minutes 
Registration for CPSY 
Paper # CPSY2014-37 
Volume (vol) vol.114 
Number (no) no.155 
Page pp.161-166 
#Pages
Date of Issue 2014-07-21 (CPSY) 


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