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Paper Abstract and Keywords
Presentation 2019-03-14 13:15
Failure Probability Estimation based on Observation Information of Individual Network Equipment
Masahiro Matsuno, Shu Sekigawa (Keio Univ.), Eiji Ooki (Kyoto Univ.), Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2018-83
Abstract (in Japanese) (See Japanese page) 
(in English) As the communication traffic increases due to the spread of IoT (Internet of Things) and the progress of
fifth generation wireless communication (5 G), optical communication networks supporting various network services as social infrastructure are required. As the multi-vendor of the optical transmission devices constituting the access metro network has progressed, there is a risk that the failure rate of the system as a whole will increase due to the specification difference of the component devices. In order to deal with the risk of failure, we consider the long-term failure probability estimation of each device and high available routing based on the estimated failure probability based on the observation information of the equipment making up the network. In this paper, failure probability is modeled as a function on time using observation information such as aged deterioration. As the evaluation, we describe the result of verifying how it can be applied to the distribution deviating from the assumed distribution in modeling.
Keyword (in Japanese) (See Japanese page) 
(in English) Access Metro network / Multi-vendor / Failure probability / Expected Capacity Guaranteed Routing / Bayesian estimation / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 505, PN2018-83, pp. 1-7, March 2019.
Paper # PN2018-83 
Date of Issue 2019-03-07 (PN) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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)
Notes on Review This article is a technical report without peer review, and its polished version will be published elsewhere.
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Conference Information
Committee PN  
Conference Date 2019-03-14 - 2019-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Miyako Island Hirara Port Terminal Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Photonic network technologies, etc. 
Paper Information
Registration To PN 
Conference Code 2019-03-PN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Failure Probability Estimation based on Observation Information of Individual Network Equipment 
Sub Title (in English)  
Keyword(1) Access Metro network  
Keyword(2) Multi-vendor  
Keyword(3) Failure probability  
Keyword(4) Expected Capacity Guaranteed Routing  
Keyword(5) Bayesian estimation  
1st Author's Name Masahiro Matsuno  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Shu Sekigawa  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Eiji Ooki  
3rd Author's Affiliation Kyoto University (Kyoto Univ.)
4th Author's Name Satoru Okamoto  
4th Author's Affiliation Keio University (Keio Univ.)
5th Author's Name Naoaki Yamanaka  
5th Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2019-03-14 13:15:00 
Presentation Time 25 minutes 
Registration for PN 
Paper # PN2018-83 
Volume (vol) vol.118 
Number (no) no.505 
Page pp.1-7 
Date of Issue 2019-03-07 (PN) 

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