Abstract-Telecom Service Providers are faced with an overwhelming flow of alarms. Network administrators need to judge which alarms to resolve in order to maintain the service quality. The problem is that it is hard to pick the most important alarms. Which alarms have the highest priority? A solution that automatically assigns priorities to alarms would increase the efficiency of Network Management Centers. We have prototyped a solution that uses neural networks to assign alarm priority. The neural network learns from network administrators by using the manually assigned priorities in trouble-tickets. Our tests are based on live-data from a large mobile service provider and we show that neural networks can learn to assign relevant priorities to 75% of the alarms. Index Terms-Communication system operations and management, Neural network applications, Alarm Systems.
Wallin and Landén REF proposed a solution that uses neural networks to automatically assign alarm priorities.
Telecom Alarm Prioritization Using Neural Networks
22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)
22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008)
Computer Science