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Adaptive mechanism-based congestion control for networked systems

Author

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  • Zhi Liu
  • Yun Zhang
  • C.L. Philip Chen

Abstract

In order to assure the communication quality in network systems with heavy traffic and limited bandwidth, a new ATRED (adaptive thresholds random early detection) congestion control algorithm is proposed for the congestion avoidance and resource management of network systems. Different to the traditional AQM (active queue management) algorithms, the control parameters of ATRED are not configured statically, but dynamically adjusted by the adaptive mechanism. By integrating with the adaptive strategy, ATRED alleviates the tuning difficulty of RED (random early detection) and shows a better control on the queue management, and achieve a more robust performance than RED under varying network conditions. Furthermore, a dynamic transmission control protocol–AQM control system using ATRED controller is introduced for the systematic analysis. It is proved that the stability of the network system can be guaranteed when the adaptive mechanism is finely designed. Simulation studies show the proposed ATRED algorithm achieves a good performance in varying network environments, which is superior to the RED and Gentle-RED algorithm, and providing more reliable service under varying network conditions.

Suggested Citation

  • Zhi Liu & Yun Zhang & C.L. Philip Chen, 2013. "Adaptive mechanism-based congestion control for networked systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(3), pages 533-544.
  • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:3:p:533-544
    DOI: 10.1080/00207721.2011.617525
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    Cited by:

    1. R. Ammour & S. Amari, 2015. "Modelling and temporal performances evaluation of networked control systems using (max, +) algebra," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(1), pages 18-30, January.
    2. Masoumeh Azadegan & Mohammad T.H. Beheshti & Babak Tavassoli, 2015. "Design of proportional-derivative-type state feedback controllers for congestion control of transmission control protocol networks," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(10), pages 1774-1779, July.

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