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Paper Abstract and Keywords
Presentation 2022-05-20 14:15
Anomaly Event Classification Method using Observability Data in Autonomous Control Loop
Yukitsugu Sasaki, Masaru Sakai, Kensuke Takahashi, Satoshi Kondou (NTT) ICM2022-9
Abstract (in Japanese) (See Japanese page) 
(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) 
(in English) Autonomous distributed system / Network management / Operation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 32, ICM2022-9, pp. 42-46, May 2022.
Paper # ICM2022-9 
Date of Issue 2022-05-12 (ICM) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee ICM IPSJ-CSEC IPSJ-IOT  
Conference Date 2022-05-19 - 2022-05-20 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICM 
Conference Code 2022-05-ICM-CSEC-IOT 
Language Japanese 
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  
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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)
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Speaker Author-1 
Date Time 2022-05-20 14:15:00 
Presentation Time 25 minutes 
Registration for ICM 
Paper # ICM2022-9 
Volume (vol) vol.122 
Number (no) no.32 
Page pp.42-46 
#Pages 5 
Date of Issue 2022-05-12 (ICM) 

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