Probabilistic Fault Management

The classical approach for network diagnosis systems is based on centralized solutions with deterministic algorithms. However, the increased complexity of new networks and services, including customers premises, demands new strategies to face two key challenges: scalability of the system and reliability against incomplete or inaccurate information. This paper describes KOWLAN, a Multiagent system in which agents carry out Bayesian inference to drive the diagnosis process and to obtain diagnosis results. The system has been quickly developed and successfully deployed, and it is contributing to a reduction of the attendance time.

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KOWLAN: A Multi Agent System for Bayesian Diagnosis in Telecommunication Networks

García-Gómez

Gonzalez-Ordás

Garcia-Algarra

et al. 2009

2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology

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Probabilistic Fault Management

Cited by 1 publication

References 40 publications

KOWLAN: A Multi Agent System for Bayesian Diagnosis in Telecommunication Networks

KOWLAN: A Multi Agent System for Bayesian Diagnosis in Telecommunication Networks

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