Abstract
In this paper an innovative approach to telecommunication network and service management is presented. It tries to solve some of the main challenges in this area by combining distributed intelligent agents with probabilistic techniques. The solution focuses on fault diagnosis but could potentially be extended to other management areas. Moreover, a prototype has been implemented and applied to a specific networking scenario. Finally, an evaluation of the reduction of fault diagnosis time by using this prototype has been conducted, showing significant advantages when compared to traditional manual processes.
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Sedano-Frade, A., González-Ordás, J., Arozarena-Llopis, P., García-Gómez, S., Carrera-Barroso, A. (2010). Distributed Bayesian Diagnosis for Telecommunication Networks. In: Demazeau, Y., Dignum, F., Corchado, J.M., Pérez, J.B. (eds) Advances in Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, vol 70. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12384-9_28
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DOI: https://doi.org/10.1007/978-3-642-12384-9_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12383-2
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