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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
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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 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)  
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
Date of Issue 2020-01-02 (ICM, LOIS) 


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