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Adaptive Per-application Load Balancing with Neuron-Fuzzy to Support Quality of Service for Voice over IP in the Internet

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

Abstract

This paper presents a per-application load balancing with adaptive feedback control to optimize both QoS requirement for VoIP application (first target) and effective link usages (second target) over the Internet. In order to forward the Internet applications over the route coupling with respect to QoS for VoIP, the perceptron neural net is used to classify the applications with similar properties belong to one of two groups. However, the perceptron has some limitations such as non-optimization for several targets. Therefore, this paper proposes to develop the perceptron with fuzzy control approach to eliminate the limitation of perceptron and enhance the capability of perceptron.

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References

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Author information

Authors and Affiliations

  1. Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand

    Sanon Chimmanee, Komwut Wipusitwarakun & Suwan Runggeratigul

Authors
  1. Sanon Chimmanee
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  2. Komwut Wipusitwarakun
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  3. Suwan Runggeratigul
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, United Kingdom

    Vasile Palade

  2. Intelligent Systems and Signal Processing Labs, Moulsecoomb, University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, Mawson Lakes, University of South Australia, 5095, Adelaide, SA, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Chimmanee, S., Wipusitwarakun, K., Runggeratigul, S. (2003). Adaptive Per-application Load Balancing with Neuron-Fuzzy to Support Quality of Service for Voice over IP in the Internet. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_73

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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