A Timescale Decomposition Approach to Network Traffic Prediction

@article{Mao2005ATD,
  title={A Timescale Decomposition Approach to Network Traffic Prediction},
  author={Guoqiang Mao},
  journal={IEICE Transactions},
  year={2005},
  volume={88-B},
  pages={3974-3981}
}
The presence of the complex scaling behavior in network traffic makes accurate traffic prediction a challenging task. Some conventional prediction tools such as the recursive least square method are not appropriate for network traffic prediction. In this paper we propose a timescale decomposition approach to real time traffic prediction. The raw traffic data is first decomposed into multiple timescales using the à trous Haar wavelet transform. The wavelet coefficients and the scaling… CONTINUE READING
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