- Tytuł:
- City Backbone Network Traffic Forecasting
- Autorzy:
-
Serikov, Tansaule
Zhetpisbayeva, Ainur
Аkhmediyarova, Аinur
Mirzakulova, Sharafat
Aigerim, Kismanova
Tolegenova, Aray
Wójcik, Waldemar - Powiązania:
- https://bibliotekanauki.pl/articles/1844529.pdf
- Data publikacji:
- 2021
- Wydawca:
- Polska Akademia Nauk. Czytelnia Czasopism PAN
- Tematy:
-
time series
packet intensity
Dickey-Fuller test
Kwiatkowski-Phillips-Perron-Shin-Schmitt test
forecasting
integrated moving average autoregression model - Opis:
- 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.
- Źródło:
-
International Journal of Electronics and Telecommunications; 2021, 67, 3; 319-324
2300-1933 - Pojawia się w:
- International Journal of Electronics and Telecommunications
- Dostawca treści:
- Biblioteka Nauki
Artykuł