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 |
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) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
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PN2018-83 |
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) |
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Keyword(1) |
Access Metro network |
Keyword(2) |
Multi-vendor |
Keyword(3) |
Failure probability |
Keyword(4) |
Expected Capacity Guaranteed Routing |
Keyword(5) |
Bayesian estimation |
Keyword(6) |
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Keyword(7) |
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Keyword(8) |
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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 |
#Pages |
7 |
Date of Issue |
2019-03-07 (PN) |
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