Summary
Asia-Pacific Network Operations and Management Symposium
2022
Session Number:PS2
Session:
Number:PS2-01
Alarm Correlation Method Using Bayesian Network in Telecommunications Networks
Yuya HATA, Naoki HAYASHI, Yusuke MAKINO, Atsushi TAKADA, Kyoko YAMAGOE,
pp.-
Publication Date:2022/09/28
Online ISSN:2188-5079
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Summary:
In the operation of information technology services, operators monitor the equipment-issued alarms, to locate the cause of a failure and take action. Alarms generate simultaneously from multiple devices with physical/logical connections. Therefore, if the time and location of the alarms are close to each other, it can be judged that the alarms are likely to be caused by the same event. In this paper, we propose a method that takes a novel approach by correlating alarms considering event units using a Bayesian network based on alarm generation time, generation place, and alarm type. The topology information becomes a critical decision element when doing the alarm correlation. However, topology information updates manually when the failures or construction, errors in the topology information may occur. Therefore, by taking into location information other than topology information, we show that event-by-event correlation with 100% accuracy is possible even if the topology information is 25% wrong.