City Backbone Network Traffic Forecasting

被引：0

作者：

Serikov, Tansaule ^{[1
]}

Zhetpisbayeva, Ainur ^{[1
]}

Akhmediyarova, Ainur ^{[2
]}

Mirzakulova, Sharafat ^{[3
]}

Kismanova, Aigerim ^{[1
]}

Tologenova, Aray ^{[1
]}

Wojcik, Waldemar ^{[4
]}

机构：

[1] S Seifullin Kazakh AgroTech Univ, Nur Sultan, Kazakhstan

[2] Inst Informat & Computat Technol, Alma Ata, Kazakhstan

[3] Turan Univ, Alma Ata, Kazakhstan

[4] Lublin Univ Technol, Lublin, Poland

来源：

INTERNATIONAL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS | 2021年 / 67卷 / 03期

关键词：

time series; packet intensity; Dickie Fuller test; Kwiatkowski-Phillips Perron-Shin-Schmitt test were; forecasting; Integrated Moving Average Autoregression Model;

D O I：

10.24425/ijet.2021.135983

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

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.

引用

页码：319 / 324

页数：6

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