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Paper Abstract and Keywords
Presentation 2025-03-14 11:20
[Invited Talk] Efforts Towards Automation of Alarm Correlation in Enterprise Networks -- Experiences from the Process of Deploying AI to Network Operations --
Yuichi Suto (NTT) ICM2024-49
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, networks have become the foundation of our social lives, and the impact of prolonged network failures has been substantial, necessitating rapid recovery. For effective recovery, it is crucial to quickly and accurately isolate the cause of the failure to prevent delays and rework in subsequent recovery measures.
Since networks employ various devices and perform complex control to realize diverse services, a single failure can affect the device where the issue originated and surrounding devices, resulting in multiple consequential alarms. In such cases, operators must first correlate these alarms to identify a fault's details accurately. However, this correlation process requires advanced knowledge of the network structure, making it highly challenging and potentially leading to extended working hours and errors.
We have been working on automating the correlation process using AI based on Bayesian networks to address these issues. We have progressed to applying this technology to the actual operation of networks. In this presentation, we will discuss our challenges in this process, such as defining appropriate metrics and improving accuracy, which are common issues when applying AI to operational environments. We will also share examples of how we addressed these challenges.
Keyword (in Japanese) (See Japanese page) 
(in English) Network Operation / Alarm / Correlation / Bayesian Network / / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 433, ICM2024-49, pp. 65-65, March 2025.
Paper # ICM2024-49 
Date of Issue 2025-03-06 (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)
Download PDF ICM2024-49

Conference Information
Committee ICM  
Conference Date 2025-03-13 - 2025-03-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Ishigaki Civic Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICM 
Conference Code 2025-03-ICM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Efforts Towards Automation of Alarm Correlation in Enterprise Networks 
Sub Title (in English) Experiences from the Process of Deploying AI to Network Operations 
Keyword(1) Network Operation  
Keyword(2) Alarm  
Keyword(3) Correlation  
Keyword(4) Bayesian Network  
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1st Author's Name Yuichi Suto  
1st Author's Affiliation NIPPON TELEGRAPH AND TELEPHONE CORPORATION (NTT)
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Speaker Author-1 
Date Time 2025-03-14 11:20:00 
Presentation Time 40 minutes 
Registration for ICM 
Paper # ICM2024-49 
Volume (vol) vol.124 
Number (no) no.433 
Page p.65 
#Pages 1 
Date of Issue 2025-03-06 (ICM) 

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