| Presentation | 2021-07-16 Event Correlation Method with Bayesian Network Atsushi Takada, Naoki Hayashi, Ryosuke Sato, Toshihiko Seki, Kyoko Yamagoe, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Nowadays, research has been conducted to automate the operation of IT services using AI and orchestrator. In the operation of IT services, the events issued by the equipment are monitored, the location of the failure is identified, and countermeasures are taken. Events are generated by multiple incidents such as failures or construction work, and arrive at the monitoring system in a mixed state. Therefore, if such events can be collated on an incident-by-incident basis, it is possible to find the root couse. In this paper, we propose a method for correlating events on an incident-by-incident basis using a Bayesian network based on the event occurrence time, location, and event type. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Network Operation / Alarm / Event / correlation / Bayesian Network |
| Paper # | ICM2021-15 |
| Date of Issue | 2021-07-08 (ICM) |
| Conference Information | |
| Committee | ICM |
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| Conference Date | 2021/7/15(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Kazuhiko Kinoshita(Tokushima Univ.) |
| Vice Chair | Haruo Ooishi(NTT) / Eiji Takahashi(NEC) |
| Secretary | Haruo Ooishi(Bosco) / Eiji Takahashi(Fujitsu) |
| Assistant | Yoshifumi Kato(NTT) |
| Paper Information | |
| Registration To | 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) | Event Correlation Method with Bayesian Network |
| Sub Title (in English) | |
| Keyword(1) | Network Operation |
| Keyword(2) | Alarm |
| Keyword(3) | Event |
| Keyword(4) | correlation |
| Keyword(5) | Bayesian Network |
| 1st Author's Name | Atsushi Takada |
| 1st Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| 2nd Author's Name | Naoki Hayashi |
| 2nd Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| 3rd Author's Name | Ryosuke Sato |
| 3rd Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| 4th Author's Name | Toshihiko Seki |
| 4th Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| 5th Author's Name | Kyoko Yamagoe |
| 5th Author's Affiliation | NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT) |
| Date | 2021-07-16 |
| Paper # | ICM2021-15 |
| Volume (vol) | vol.121 |
| Number (no) | ICM-114 |
| Page | pp.pp.28-33(ICM), |
| #Pages | 6 |
| Date of Issue | 2021-07-08 (ICM) |