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Fuzzy-based adaptive bandwidth control for loss guarantees.

Peerapon Siripongwutikorn1, Sujata Banerjee, David Tipper

  • 1University of Pittsburgh, PA 15260, USA.

IEEE Transactions on Neural Networks
|October 29, 2005
PubMed
Summary

This study introduces augmented Fuzzy (A-Fuzzy) control for adaptive bandwidth control (ABC) in packet-switched networks. This method efficiently guarantees packet loss rates for aggregate traffic without needing prior traffic details.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Control Systems

Background:

  • Packet-switched networks require efficient Quality of Service (QoS) provisioning.
  • Static bandwidth allocation (SBA) can be inefficient and lacks adaptability.
  • Existing adaptive bandwidth allocation schemes may require detailed traffic information.

Purpose of the Study:

  • To present an adaptive bandwidth control (ABC) method for quantitative packet loss rate guarantees.
  • To introduce the augmented Fuzzy (A-Fuzzy) control algorithm for enhanced performance.
  • To develop a measurement-based admission control procedure for maintaining performance.

Main Methods:

  • Adaptive bandwidth control (ABC) adjusting bandwidth based on online system state measurements.

Related Experiment Videos

  • Augmented Fuzzy (A-Fuzzy) control using fuzzy logic for queue length management and packet loss rate augmentation.
  • Extensive simulation studies using theoretical traffic models and real traffic traces.

    • Main Results:

    • A-Fuzzy control demonstrates robustness and high bandwidth utilization.
    • The proposed method achieves specified packet loss rate requirements.
    • A-Fuzzy control outperforms static bandwidth allocation and existing adaptive schemes.
    • The admission control procedure effectively maintains A-Fuzzy performance.

    Conclusions:

    • Augmented Fuzzy (A-Fuzzy) control is a viable and improved alternative for aggregate QoS provisioning.
    • The method eliminates the need for a priori traffic information, enhancing efficiency.
    • The developed admission control complements A-Fuzzy for sustained network performance.