Telecom alarm prioritization using neural networks
2008 (English)In: 22nd International Conference on Advanced Information Networking and Applications - Workshops: AINAW 2008, Los Alamitos, Calif: IEEE Communications Society, 2008, 1468-1473 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Los Alamitos, Calif: IEEE Communications Society, 2008. 1468-1473 p.
, International Conference on Advanced Information Networking and Applications. Proceedings, ISSN 1550-445X
Research subject Mobile and Pervasive Computing
IdentifiersURN: urn:nbn:se:ltu:diva-28018DOI: 10.1109/WAINA.2008.105Local ID: 1aa45ff0-9cc6-11dc-97ff-000ea68e967bISBN: 978-0-7695-3096-3 (PDF)OAI: oai:DiVA.org:ltu-28018DiVA: diva2:1001211
International Conference on Advanced Information Networking and Applications Workshops : 25/03/2008 - 28/03/2008
Validerad; 2008; 20071127 (stewal)2016-09-302016-09-30Bibliographically approved