Published March 4, 2020 | Version v1
Conference paper Restricted

AQM mechanism with neuron tuning parameters

Authors/Creators

  • 1. Faculty of Automatic Control, Electronics and Computer Science, Department of Distributed Systems and Informatic Devices, Silesian University of Technology
  • 2. Institute of Theoretical and Applied Informatics, Polish Academy of Sciences

Description

The congestion control is one of the most important questions in modern computer network performance. This article investigates the problem of adaptive neuron based choice of the Active Queue Mechanisms parameters. We evaluate the performance of the AQM mechanism in the presence of self-similar traffic based on the automatic selection of their parameters using the adaptive neuron. We have also proposed an AQM mechanism based on non-integer order PI alpha controller with neuron tuning parameters and compared it with Adaptive Neuron AQM. The numerical results are obtained using the discrete event simulation model.

Notes

This research was partially financed by National Science Center project no. 2017/27/B/ST6/00145. This research was partially financed by 02/020/BKM19/0183. The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-42058-1_25

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The final authenticated version is available online at: https://doi.org/10.1007/978-3-030-42058-1_25

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