Behavioural Proximity Approach for Alarm Correlation in Telecommunication Networks

摘要

In telecommunication networks, alarms are usually useful for identifying faults, and therefore solving them. However, for large systems the number of alarms produced is so large that the current management systems are overloaded. One way of overcoming this problem is to filter and reduce the number of alarms before the faults can be located. In this paper, we describe a new approach for fault recognition and classification in telecommunication networks. We study and evaluate its performance using real-world data collected from 3G telecommunication networks.