Presentation 2022-05-20
Anomaly Event Classification Method using Observability Data in Autonomous Control Loop
Yukitsugu Sasaki, Masaru Sakai, Kensuke Takahashi, Satoshi Kondou,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) An autonomous control loop system has been proposed in which each operation part operates autonomously by making the function of maintenance operation into parts. It monitors the object service, and it aims at realization of autonomous tracking and automatic recovery for addition of new function to the service, specification change and failure generation. In the previous research, the information acquisition method for utilizing observability data called Logs/Metrics/Tracing, etc. has been proposed, but the concrete correspondence method in the failure has not been proposed. In response to failures, observability data can be used and machine learning models such as random forests can be used to operate predetermined functions for failures corresponding to the past. However, machine learning models of supervised learning must be assigned to any failure among failures learned in advance, and it is difficult to operate appropriate workers when anomaly events occur. In this paper, we propose an event classification method at failure occurrence using clustering of unsupervised learning and one-vs-one to judge known and anomaly events.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Autonomous distributed system / Network management / Operation
Paper # ICM2022-9
Date of Issue 2022-05-12 (ICM)

Conference Information
Committee ICM / IPSJ-CSEC / IPSJ-IOT
Conference Date 2022/5/19(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
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 / Special Interest Group on Computer Security / Special Interest Group on Internet and Operation Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Anomaly Event Classification Method using Observability Data in Autonomous Control Loop
Sub Title (in English)
Keyword(1) Autonomous distributed system
Keyword(2) Network management
Keyword(3) Operation
1st Author's Name Yukitsugu Sasaki
1st Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT)
2nd Author's Name Masaru Sakai
2nd Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT)
3rd Author's Name Kensuke Takahashi
3rd Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT)
4th Author's Name Satoshi Kondou
4th Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION(NTT)
Date 2022-05-20
Paper # ICM2022-9
Volume (vol) vol.122
Number (no) ICM-32
Page pp.pp.42-46(ICM),
#Pages 5
Date of Issue 2022-05-12 (ICM)