Paper Abstract and Keywords |
Presentation |
2020-01-09 14:25
Study on Method of Identifying Affected Equipment to Support Recovery Operation in a Large-scale Disaster Kimihiko Fukami, Masataka Sato, Shohei Nishikawa, Kenji Murase, Kenichi Tayama (NTT) ICM2019-33 LOIS2019-48 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Communication career has to quickly and accurately recover from communication failures that frequently occur in multiple communication services due to disasters. However, when damage to buildings, cables, and equipment occurred, it was difficult to identify the affected equipment by grasping the communication status of all sections related to the damaged part. We have been studying a network management architecture that enables to store network structure with unified format and manage it across layers. In this paper, we propose a method to extract equipment candidates such as damaged buildings and cables from the failure status of multiple communication services using this architecture. And if there is equipment that accommodates multiple communication services among the extracted equipment candidates, the accommodation number is defined as the multiplicity. We also propose a method to identify affected facilities to be restored by narrowing down the corresponding equipment based on the degree of multiplicity. In addition, we report the result of operation verification by applying the proposed method to a transmission network composed of multiple rings. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Identify Service Influence / Damaged equipment / Recovery Support / SID / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 358, ICM2019-33, pp. 19-24, Jan. 2020. |
Paper # |
ICM2019-33 |
Date of Issue |
2020-01-02 (ICM, LOIS) |
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) |
Download PDF |
ICM2019-33 LOIS2019-48 |
Conference Information |
Committee |
LOIS ICM |
Conference Date |
2020-01-09 - 2020-01-10 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
ARKAS SASEBO |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Practical Use of Lifelog, Office Information System, Business Management, etc. |
Paper Information |
Registration To |
ICM |
Conference Code |
2020-01-LOIS-ICM |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Study on Method of Identifying Affected Equipment to Support Recovery Operation in a Large-scale Disaster |
Sub Title (in English) |
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Keyword(1) |
Identify Service Influence |
Keyword(2) |
Damaged equipment |
Keyword(3) |
Recovery Support |
Keyword(4) |
SID |
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1st Author's Name |
Kimihiko Fukami |
1st Author's Affiliation |
NTT Access Network Service Systems Laboratories (NTT) |
2nd Author's Name |
Masataka Sato |
2nd Author's Affiliation |
NTT Access Network Service Systems Laboratories (NTT) |
3rd Author's Name |
Shohei Nishikawa |
3rd Author's Affiliation |
NTT Access Network Service Systems Laboratories (NTT) |
4th Author's Name |
Kenji Murase |
4th Author's Affiliation |
NTT Access Network Service Systems Laboratories (NTT) |
5th Author's Name |
Kenichi Tayama |
5th Author's Affiliation |
NTT Access Network Service Systems Laboratories (NTT) |
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Speaker |
Author-1 |
Date Time |
2020-01-09 14:25:00 |
Presentation Time |
25 minutes |
Registration for |
ICM |
Paper # |
ICM2019-33, LOIS2019-48 |
Volume (vol) |
vol.119 |
Number (no) |
no.358(ICM), no.359(LOIS) |
Page |
pp.19-24 |
#Pages |
6 |
Date of Issue |
2020-01-02 (ICM, LOIS) |
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