Statistical analysis and prioritisation of alarms in mobile networks
2009 (English)In: International Journal of Business Intelligence and Data Mining, ISSN 1743-8195, Vol. 4, no 1, 4-21 p.Article in journal (Refereed) Published
Telecom Service Providers are faced with an overwhelming flow of alarms, which makes good alarm classification and prioritization very important. This paper first provides statistical analysis of data collected from a real-world alarm flow and then presents a quantitative characterization of the alarm situation. Using data from the trouble ticketing system as a reference, we examine the relationship between mechanical classification of alarms and the human perception of them.Using this knowledge of alarm flow properties and trouble ticketing information, we suggest a neural network-based approach for alarm classification. Tests using live data show that our prototype assigns the same severity as a human expert in 50% of all cases, compared to 17% for a naive approach.
Place, publisher, year, edition, pages
2009. Vol. 4, no 1, 4-21 p.
Research subject Embedded System; Mobile and Pervasive Computing
IdentifiersURN: urn:nbn:se:ltu:diva-7862DOI: 10.1504/IJBIDM.2009.025408Local ID: 649e4ab0-c323-11dd-a054-000ea68e967bOAI: oai:DiVA.org:ltu-7862DiVA: diva2:980752
Validerad; 2009; 20081206 (leijon)2016-09-292016-09-29Bibliographically approved