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A Lightweight Approach to Distributed Network Diagnosis under Uncertainty

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 329))

Abstract

Management applications have not kept the fast changing pace of networks and services and still rely on centralized and deterministic approaches. Besides, distribution and uncertainty are intrinsic issues in the telecommunications environment. Therefore, new approaches to network and service management have to be explored that can deal with these challenges.

In this paper a lightweight collaborative framework for network troubleshooting is presented. This framework is based on multi-agent platforms and probabilistic techniques and it has been prototyped and applied to three different network environments. A summary of the most relevant results obtained and conclusions reached is also provided.

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García-Algarra, J., Arozarena, P., García-Gómez, S., Carrera-Barroso, A., Toribio-Sardón, R. (2010). A Lightweight Approach to Distributed Network Diagnosis under Uncertainty. In: Caballé, S., Xhafa, F., Abraham, A. (eds) Intelligent Networking, Collaborative Systems and Applications. Studies in Computational Intelligence, vol 329. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16793-5_5

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  • DOI: https://doi.org/10.1007/978-3-642-16793-5_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16792-8

  • Online ISBN: 978-3-642-16793-5

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