City backbone network traffic forecasting
Serikov T. Zhetpisbayeva A. Akhmediyarova A. Mirzakulova S. Kismanova A. Tolegenova A. Wójcik W.
2021Polska Akademia Nauk
International Journal of Electronics and Telecommunications
2021#67Issue 3319 - 324 pp.
The work considers a one-dimensional time series protocol packet intensity, measured on the city backbone network. The intensity of the series is uneven. Scattering diagrams are constructed. The Dickie Fuller test and Kwiatkowski-Phillips Perron-Shin-Schmitt test were applied to determine the initial series to the class of stationary or non-stationary series. Both tests confirmed the involvement of the original series in the class of differential stationary. Based on the Dickie Fuller test and Private autocorrelation function graphs, the Integrated Moving Average Autoregression Model model is created. The results of forecasting network traffic showed the adequacy of the selected model.
Dickie Fuller test , Forecasting , Integrated Moving Average Autoregression Model , Kwiatkowski-Phillips Perron-Shin-Schmitt test were , Packet intensity , Time series
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S.Seifullin Kazakh AgroTechnical University, Nur- Sultan, Kazakhstan
Institute of Information and Computational Technologies, Almaty, Kazakhstan
Turan University, Almaty, Kazakhstan
Lublin University of Technology, Poland
S.Seifullin Kazakh AgroTechnical University
Institute of Information and Computational Technologies
Turan University
Lublin University of Technology
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