Abstract
To deal with the characteristic of network traffic, a prediction algorithm based on wavelet transform and Season ARIMA model is introduced in this paper. The complex correlation structure of the network history traffic is exploited with wavelet method .For the traffic series under different time scale, self-similarity is analyzed and different prediction model is selected for predicting. The result series is reconstructed with wavelet method. Simulation results show that the proposed method can achieve higher prediction accuracy rather than single prediction model.
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References
Leland, W., Taqqu, M., Willinger, W., Wilson, D.: On the self-similar nature of Ethernet traffic (extended version). IEEE/ACM Trans. Networking, 1–15 (1994)
Papagiannaki, K., Taft, N., Zhang, Z.-L.: Long-term forecasting of Internet backbone traffic: Observations and initial models. In: IEEE INFOCOM 2003 (2003)
Hongfei, w.: Wavelet-based multi-scale network traffic prediction model. Chinese Journal of Computers 29(1), 166–170 (2006)
Leiting, y.: A network traffic prediction of wavelet neural network model. Computer Applications 26(3), 526–528 (2006)
Garcia-Trevino, E.S., Alarcon-quino, V.: Single-step prediction of chaotic time series using wavelet-networks. In: Electronics Robotics and Automotive Mechanics Conference, p. 6 (2006)
Mao, G.Q.: Real-time network traffic prediction based on a multiscale decomposition. In: Lorenz, P., Dini, P. (eds.) ICN 2005. LNCS, vol. 3420, pp. 492–499. Springer, Heidelberg (2005)
Yin, S.Y., Lin, X.K.: Adaptive Load Balancing in Mobile Ad hoc Networks. In: Proceedings of IEEE Communications Society /WCNC 2005, pp. 1982–1987 (2005)
Mallat, S., Hwang, W.I.: Singularity detection and processing with wavelets. IEEE Trans on Information Theory 38(4) (1992)
Charfiled, C.: Model uncertainty, data mining and statistical inference. J. Roy. Statist. Soc. A 158 (1995)
Zouboxian, l.: ARMA model based on network traffic prediction. Computer Research and Development (2002)
Groschwitz, N.K., Polyzos, G.C.: A time series model of long-term NSFNET backbone traffic. In: IEEE International Conference on Communications (1994)
Bowerman, B.L., O’Connell, R.T.: Time Series Fore casting - Uni¯ed Concepts and Computer Implementation, 2nd edn. PWS publishers (1987)
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Wei, Y., Wang, J., Wang, C. (2011). Network Traffic Prediction Based on Wavelet Transform and Season ARIMA Model. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21111-9_17
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DOI: https://doi.org/10.1007/978-3-642-21111-9_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21110-2
Online ISBN: 978-3-642-21111-9
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