Analysis and Prediction of Real Network Traffic

  title={Analysis and Prediction of Real Network Traffic},
  author={Mohamed Faten Zhani and Halima Elbiaze and Farouk Kamoun},
Short period prediction is a relevant task for many network applications. Tuning the parameters of the prediction model is very crucial to achieve accurate prediction. This work focuses on the design, the empirical evaluation and the analysis of the behavior of training-based models for predicting the throughput of a single link i.e. the incoming input rate in Megabit per second. In this work, a neurofuzzy model (α SNF), the AutoRegressive Moving Average (ARMA) model and the Integrated… CONTINUE READING
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