SUPPORT FOR TELECOMMUNICATION ALARMING SYSTEM THROUGH TICKET TROUBLE PREDICTION
G.Vijayasree
Research Scholar, PG & Research Dept. of Computer Science,
Dr. K. Sujith
Research Supervisor, PG and Research Dept. of Computer Science, Annai Vailankanni Arts and Science College, Thanjavur.
(Affiliated to Bharathidasan University)
Abstract
A rise in the occurrence of faults from various telecom network services and infrastructures has been detected with the expansion of the overall network. With today's advanced alarm management systems, there is a significant increase in the challenge of managing alarms using manual or rules-based techniques, especially when there is a need for highly experienced individuals to be deployed. As network size and complexity expand dramatically, it is becoming imperative to use data-driven approaches to recognize semantically comparable alarms produced by heterogeneous network components from several suppliers. The approach presented in this project utilizes Alert Management Systems to create a troubleshooting prediction model powered by data. A time and feature engineering function extraction are implemented in order to increase performance. Data collected from the primary Italian telecom operator has supported the model development and validation. Trouble Ticket prediction reduced the number of false positives that were seen in the experimental data.
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