ITM Web Conf.
Volume 7, 20163rd Annual International Conference on Information Technology and Applications (ITA 2016)
|Number of page(s)
|Session 9: Computer Science and its Applications
|21 November 2016
A Wavelet Analysis-Based Dynamic Prediction Algorithm to Network Traffic
1 State Grid Liaoning Electric Power Company Limited, Shenyang 110006, China
2 State Grid Huludao Electric Power Supply Company, Huludao 125000, China
3 Shenyang China Resources Thermal Power Company Limited, Shenyang 110043, China
4 State Grid Dandong Electric Power Supply Company, Dandong 118000, China
a Corresponding author: firstname.lastname@example.org
Network traffic is a significantly important parameter for network traffic engineering, while it holds highly dynamic nature in the network. Accordingly, it is difficult and impossible to directly predict traffic amount of end-to-end flows. This paper proposes a new prediction algorithm to network traffic using the wavelet analysis. Firstly, network traffic is converted into the time-frequency domain to capture time-frequency feature of network traffic. Secondly, in different frequency components, we model network traffic in the time-frequency domain. Finally, we build the prediction model about network traffic. At the same time, the corresponding prediction algorithm is presented to attain network traffic prediction. Simulation results indicates that our approach is promising.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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