Network Traffic Prediction using ARIMA and Neural Networks Models

Authors

  • G. Rutka Riga Technical University

Abstract

The network traffic prediction plays a fundamental role in network design, management, control and optimization. The self-similar and non-linear nature of traffic makes accurate prediction more difficult. This paper presents a view of models used for network traffic prediction using ARIMA and neural network models. Our experiments inspect the accuracy of k-step ahead prediction using ARIMA and neural network models. Ill. 11, bibl. 18 (in English; summaries in English, Russian and Lithuanian).

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Published

2008-04-19

How to Cite

Rutka, G. (2008). Network Traffic Prediction using ARIMA and Neural Networks Models. Elektronika Ir Elektrotechnika, 84(4), 53-58. Retrieved from https://eejournal.ktu.lt/index.php/elt/article/view/11132

Issue

Vol. 84 No. 4 (2008)

Section

T 180 TELECOMMUNICATION ENGINEERING

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