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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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
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
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)