Skip to main content
SpringerLink
Log in

B-ISDN Network Management by a Fuzzy Logic Controller

  • Conference paper
Fuzzy Logik

Part of the book series: Informatik aktuell ((INFORMAT))

Abstract

This paper is part of a research project to examine the use of intelligent technologies like fuzzy controllers, artificial neural networks, genetic algorithms or evolutionary strategies in the resource management of high speed networks. It deals with an investigation on adaptive flow-control mechanism based on fuzzy controllers integrated in ATM networks. In addition to a new overall concept, a new method for fair flow control of services or connections is presented. The results are verified by means of extensive simulations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 54.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Erwin P.Rathgeb, ‘Modleling and Performance Comparison of Policing Mechanisms for ATM Networks’, IEEE J. on Selected Areas in Comm., Vol. 9, No. 3, April 1991, pp. 325–334

    Article  Google Scholar 

  2. José Augusto Suruagy Monteiro, Mario Gerla and Luigi Fratta, ‘Input Rate Control for ATM Networks’, 13th ITC, Copenhagen 1991, Volume 14, pp. 117–122

    Google Scholar 

  3. Detlef Jensen, Klaus Kolodziedczieyk Strunck, ‘Fair Bandwidth Control in ATM-Systems by Artificial Neural Networks’, ISSLS 93, October 1993, Vancouver, BC, Canada, pp. 162–167

    Google Scholar 

  4. Detlef Jensen, Klaus Kolodziedczieyk Strunck, ‘Efficient Training Algorithm for Artificial Neural Networks in ATM-Systems’, Institute for Electronic Systems and Switching, October 1993

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute for Electronic Systems and Switching, ET-ESV, University of Dortmund, 44221, Dortmund, Germany

    Detlef Jensen

Authors
  1. Detlef Jensen
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Fachbereich Informatik, Lehrstuhl Informatik I, Universität Dortmund, Otto-Hahn-Straße 16, D-44227, Mortmund, Deutschland

    Bernd Reusch

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jensen, D. (1994). B-ISDN Network Management by a Fuzzy Logic Controller. In: Reusch, B. (eds) Fuzzy Logik. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79386-8_35

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-79386-8_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58649-4

  • Online ISBN: 978-3-642-79386-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation