Traffic modeling, prediction, and congestion control for high-speed networks: a fuzzy AR approach

@article{Chen2000TrafficMP,
  title={Traffic modeling, prediction, and congestion control for high-speed networks: a fuzzy AR approach},
  author={Bor-Sen Chen and Sen-Chueh Peng and Ku-Chen Wang},
  journal={IEEE Trans. Fuzzy Systems},
  year={2000},
  volume={8},
  pages={491-508}
}
In general, high-speed network traffic is a complex, nonlinear, nonstationary process and is significantly affected by immeasurable parameters and variables. Thus, a precise model of this process becomes increasingly difficult as the complexity of the process increases. Recently, fuzzy modeling has been found to be a powerful method to effectively describe a real, complex, and unknown process with nonlinear and time-varying properties. In this study, a fuzzy autoregressive (fuzzy-AR) model is… CONTINUE READING
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