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Paper Abstract and Keywords
Presentation 2007-11-16 10:05
Causality Analysis for derived failures with maximum likelihood
Toshio Tonouchi (NEC) TM2007-39
Abstract (in Japanese) (See Japanese page) 
(in English) We are developing a root cause analysis technique and fault management technique for reliable systems. Root
cause analysis is difficult especially in distributed systems. This is because each machine issues its events of a fault which may be propagated by a fault of another machine. We propose a new root cause analysis method in which fault propagation models are calculated with maximum likelihood analysis. In this method, a user specifies a small fault analysis rules without fault propagation specifications because fault propagation specifications are automatically complemented by machine learning of event logs. We implemented a prototype system, and we can find that the proposed system can detect a root cause and its source device in high precision when propagated faults occur in short time since the original fault occurs.
Keyword (in Japanese) (See Japanese page) 
(in English) fault analysis / derived failure / event correlation / likelihood analysis / hidden Markov model / / /  
Reference Info. IEICE Tech. Rep., vol. 107, Nov. 2007.
Paper #  
Date of Issue 2007-11-08 (TM) 
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 NS ICM CQ  
Conference Date 2007-11-15 - 2007-11-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Institute of System LSI Design Industry, Fukuoka 
Topics (in Japanese) (See Japanese page) 
Topics (in English) NGN architecture, NGN operation architecture, Traffic modeling, Overlay networking, etc. 
Paper Information
Registration To ICM 
Conference Code 2007-11-NS-TM-CQ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Causality Analysis for derived failures with maximum likelihood 
Sub Title (in English)  
Keyword(1) fault analysis  
Keyword(2) derived failure  
Keyword(3) event correlation  
Keyword(4) likelihood analysis  
Keyword(5) hidden Markov model  
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1st Author's Name Toshio Tonouchi  
1st Author's Affiliation NEC Corporation (NEC)
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Speaker Author-1 
Date Time 2007-11-16 10:05:00 
Presentation Time 25 minutes 
Registration for ICM 
Paper # TM2007-39 
Volume (vol) vol.107 
Number (no) no.313 
Page pp.29-34 
#Pages
Date of Issue 2007-11-08 (TM) 


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