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Diagnosis tools for telecommunication network traffic management

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Artificial Neural Networks — ICANN 96 (ICANN 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1112))

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Abstract

With the rapid evolution of telecommunication networks, real-time network traffic management is becoming more and more crucial. We propose here a modular system for performing diagnosis at different levels of the network. It is designed as an aid to the operator. We present results of different experiments with a first version of this system which operates at a local level.

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Author information

Authors and Affiliations

  1. LAFORIA - IBP, Université Paris 6 - boite 169, 4, Place Jussieu, 75252, Paris cedex 05, France

    Philippe Leray & Patrick Gallinari

  2. France Télécom - CNET, CNET PAA/ATR, 38-40 rue du général Leclerc, 92131, Issy les Moulineaux cedex, France

    Elisabeth Didelet

Authors
  1. Philippe Leray
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  2. Patrick Gallinari
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  3. Elisabeth Didelet
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Editor information

Christoph von der Malsburg Werner von Seelen Jan C. Vorbrüggen Bernhard Sendhoff

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© 1996 Springer-Verlag Berlin Heidelberg

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Leray, P., Gallinari, P., Didelet, E. (1996). Diagnosis tools for telecommunication network traffic management. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5_38

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  • DOI: https://doi.org/10.1007/3-540-61510-5_38

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61510-1

  • Online ISBN: 978-3-540-68684-2

  • eBook Packages: Springer Book Archive

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