Network root fault location based on network topology and alarm
Authors: 
Jingyu Li, Yunyi Jiang, Ziye ZhangAuthors Info & Claims
Pages 102 - 107
Abstract
Large Internet service platforms involving hundreds of inter-system calls generate a large amount of alarm data every day. How to use the network topology information and alarm data to analyze the alarm in a timely and effective manner, and finally give the effective alarm and the suspected root cause, is the main challenge facing the network operation and maintenance. This paper studies a kind of solution. First, we preprocess the output sequence of a long alarm system cluster. And then judge whether there is a root fault by Support Vector Machine. At the next stage, employee a well-prepared Bayesian network to compute the highest probability of fault types, combined with filtering rules to get the final conclusion. The method is lightweight and efficient, which has been verified by experiments.
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Published In
February 2021
143 pages
ISBN:9781450389082
DOI:10.1145/3456126
Copyright © 2021 ACM.
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Published: 29 June 2021
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ASSE '21
ASSE '21: 2021 2nd Asia Service Sciences and Software Engineering Conference
February 24 - 26, 2021
Macau, Macao
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