| Paper Abstract and Keywords |
| Presentation |
2022-11-24 15:20
Optimizing Resource Placement for Stationary Failure Recovery Nobukazu Fukuda, Mayu Yamazoe, Hiroaki Matsubayashi, Kazuaki Akashi, Shunsuke Kanai (NTT) ICM2022-24 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Network recovery is a key issue for telecommunication service after daily failures and wide-area disasters. Several approaches have been proposed to optimize routing paths and recovery orders. In order to simulate these methods proactively before a failure occurs, it is necessary to calculate numerous combinations of failure locations, routing paths, recovery orders, and network performance. In this paper, we propose a formulation and an optimization method for the simulation of stationary occurrence of failures and recovery process using queuing theory and flow network. The proposed method optimizes the allocation of resources (workers or vehicles) to visit nodes and the allocation probabilities to each node to minimize the impact of failures on network service. We conduct experiments using real network topology and show the proposed method can outperform the baseline methods and reduce the service impact. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Failure Recovery / Queuing Model / Flow Network / Optimization / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 122, no. 276, ICM2022-24, pp. 13-18, Nov. 2022. |
| Paper # |
ICM2022-24 |
| Date of Issue |
2022-11-17 (ICM) |
| 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 |
ICM2022-24 |
| Conference Information |
| Committee |
NS ICM CQ NV |
| Conference Date |
2022-11-24 - 2022-11-25 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Humanities and Social Sciences Center, Fukuoka Univ. + Online |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Network quality, Network measurement/management, Network virtualization, Network service, Blockchain, Security, Network intelligence/AI, etc. |
| Paper Information |
| Registration To |
ICM |
| Conference Code |
2022-11-NS-ICM-CQ-NV |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Optimizing Resource Placement for Stationary Failure Recovery |
| Sub Title (in English) |
|
| Keyword(1) |
Failure Recovery |
| Keyword(2) |
Queuing Model |
| Keyword(3) |
Flow Network |
| Keyword(4) |
Optimization |
| Keyword(5) |
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| Keyword(6) |
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| Keyword(7) |
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| Keyword(8) |
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| 1st Author's Name |
Nobukazu Fukuda |
| 1st Author's Affiliation |
NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NTT) |
| 2nd Author's Name |
Mayu Yamazoe |
| 2nd Author's Affiliation |
NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NTT) |
| 3rd Author's Name |
Hiroaki Matsubayashi |
| 3rd Author's Affiliation |
NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NTT) |
| 4th Author's Name |
Kazuaki Akashi |
| 4th Author's Affiliation |
NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NTT) |
| 5th Author's Name |
Shunsuke Kanai |
| 5th Author's Affiliation |
NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NTT) |
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| Speaker |
Author-1 |
| Date Time |
2022-11-24 15:20:00 |
| Presentation Time |
25 minutes |
| Registration for |
ICM |
| Paper # |
ICM2022-24 |
| Volume (vol) |
vol.122 |
| Number (no) |
no.276 |
| Page |
pp.13-18 |
| #Pages |
6 |
| Date of Issue |
2022-11-17 (ICM) |