Presentation 2020-03-16
Study of Event Escalation Judgement Technique Using Machine Learning for IT Ops
Takashi Tameshige, Mineyoshi Masuda, Koichi Murayama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) IT operators refer to the handling instruction when the abnormal event occurs and perform the work. Failure events that occur at a specific time period and at a low frequency often do not have a coping instruction. Using the machine learning model, we developed a technology to propose appropriate coping instructions to the IT operator at the time of failure event. Search for past events similar to new events the result of the development and application of event cataloging technology, which resulted in a significant reduction in retrieval time, we made a significant progress in automating abnormal event operation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) IT Operator / IT Operation / abnormal event / machine learning / coping instructions / past events / Event Catalogue Technology
Paper # SC2019-43
Date of Issue 2020-03-09 (SC)

Conference Information
Committee SC
Conference Date 2020/3/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Hitachi Central Research Laboratory
Topics (in Japanese) (See Japanese page)
Topics (in English) 【Online Conference】 Machine Learning Systems Engineering and Service Computing, etc.
Chair Masahide Nakamura(Kobe Univ.)
Vice Chair Shinji Kikuchi(NIMS) / Yoji Yamato(NTT)
Secretary Shinji Kikuchi(Tokyo Univ. of Tech.) / Yoji Yamato(Fujitsu Lab.)

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 Escalation Judgement Technique Using Machine Learning for IT Ops
Sub Title (in English) Study of AI for ITOps
Keyword(1) IT Operator
Keyword(2) IT Operation
Keyword(3) abnormal event
Keyword(4) machine learning
Keyword(5) coping instructions
Keyword(6) past events
Keyword(7) Event Catalogue Technology
1st Author's Name Takashi Tameshige
1st Author's Affiliation Hitachi Ltd.(Hitachi)
2nd Author's Name Mineyoshi Masuda
2nd Author's Affiliation Hitachi Ltd.(Hitachi)
3rd Author's Name Koichi Murayama
3rd Author's Affiliation Hitachi Ltd.(Hitachi)
Date 2020-03-16
Paper # SC2019-43
Volume (vol) vol.119
Number (no) SC-482
Page pp.pp.53-58(SC),
#Pages 6
Date of Issue 2020-03-09 (SC)