Using Extended Logic Programming for Alarm-Correlation in Cellular Phone Networks
Applied Intelligence
NFMi: An Inter-domain Network Fault Management System
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Automatic diagnosis of mobile communication networks under imprecise parameters
Expert Systems with Applications: An International Journal
Statistical analysis and prioritisation of alarms in mobile networks
International Journal of Business Intelligence and Data Mining
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International Journal of Business Intelligence and Data Mining
The semantics of alarm definitions: enabling systematic reasoning about alarms
International Journal of Network Management
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Though cellular phone networks already contain intelligent network elements diagnosing local faults, alarm bursts caused by network element failures cannot be handled properly by this technology. It is the responsibility of the operators to extract the relevant alarms from such a burst and identify the cause. To assist the operators, several alarm correlation tools have been developed.The current paper introduces a model-based solution to the problem of alarm correlation. We use an abstract simulation model to predict the propagation of alarm messages through the network. By comparing the predicted behavior with the actual alarm pattern, the cause of the alarms is identified. The paper describes the model and its implementation using the diagnosis system DRUM-II.