| Presentation | 2020-01-09 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, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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) |
| Keyword(in English) | Identify Service Influence / Damaged equipment / Recovery Support / SID |
| Paper # | ICM2019-33,LOIS2019-48 |
| Date of Issue | 2020-01-02 (ICM, LOIS) |
| Conference Information | |
| Committee | LOIS / ICM |
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| Conference Date | 2020/1/9(2days) |
| 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. |
| Chair | Tomohiro Yamada(NEL) / Kiyohito Yoshihara(KDDI Research) |
| Vice Chair | Toru Kobayashi(Nagasaki Univ.) / Takumi Miyoshi(Shibaura Inst. of Tech.) / Yoichi Sato(Open Systems Laboratory) |
| Secretary | Toru Kobayashi(Research Organization of Information and Systems) / Takumi Miyoshi(NTT) / Yoichi Sato(NTT) |
| Assistant | Kenichi Arai(Nagasaki Univ.) / Hiroki Nakayama(Bosco) |
| Paper Information | |
| Registration To | Technical Committee on Life Intelligence and Office Information Systems / Technical Committee on Information and Communication Management |
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| Language | JPN |
| 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 |
| 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) |
| Date | 2020-01-09 |
| Paper # | ICM2019-33,LOIS2019-48 |
| Volume (vol) | vol.119 |
| Number (no) | ICM-358,LOIS-359 |
| Page | pp.pp.19-24(ICM), pp.19-24(LOIS), |
| #Pages | 6 |
| Date of Issue | 2020-01-02 (ICM, LOIS) |