Presentation | 2021-03-19 Study of Event Monitoring Technique Using Machine Learning for IT Operations Takashi Tameshige, Yasuyuki Tamai, Mineyoshi Masuda, Koichi Murayama, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In the normal event arrival confirmation which is an IT operator business, IT operator confirms that IT system is running normally with all the visual and double check. We developed a monitoring technology for IT events that utilized machine learning. Normal events have ample features that are covered by the training data because of the abundance of past events. We focused on the features and monitored all monitoring items using machine learning. This monitoring technology consists of a monitoring item extraction technique that calculates similarity of all monitoring items and extracts only the highest value, and pretreatment automation technology to remove noise from the message body. By applying this technology, we have improved the coverage of monitoring items and have been able to automate normal event monitoring operations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | IT Operator / IT Operation / normal event / monitoring / machine learning |
Paper # | SC2020-34 |
Date of Issue | 2021-03-12 (SC) |
Conference Information | |
Committee | SC |
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Conference Date | 2021/3/19(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Online |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Shinji Kikuchi(NIMS) |
Vice Chair | Yoji Yamato(NTT) / Kosaku Kimura(Fujitsu Lab.) |
Secretary | Yoji Yamato(Kobe Univ.) / Kosaku Kimura(Tokyo Univ. of Tech.) |
Assistant |
Paper Information | |
Registration To | Technical Committee on Service Computing |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Study of Event Monitoring Technique Using Machine Learning for IT Operations |
Sub Title (in English) | Study of AI for IT Ops |
Keyword(1) | IT Operator |
Keyword(2) | IT Operation |
Keyword(3) | normal event |
Keyword(4) | monitoring |
Keyword(5) | machine learning |
1st Author's Name | Takashi Tameshige |
1st Author's Affiliation | Hitachi Ltd.(Hitachi) |
2nd Author's Name | Yasuyuki Tamai |
2nd Author's Affiliation | Hitachi Ltd.(Hitachi) |
3rd Author's Name | Mineyoshi Masuda |
3rd Author's Affiliation | Hitachi Ltd.(Hitachi) |
4th Author's Name | Koichi Murayama |
4th Author's Affiliation | Hitachi Ltd.(Hitachi) |
Date | 2021-03-19 |
Paper # | SC2020-34 |
Volume (vol) | vol.120 |
Number (no) | SC-434 |
Page | pp.pp.7-12(SC), |
#Pages | 6 |
Date of Issue | 2021-03-12 (SC) |