Network Traffic Prediction using ARIMA and Neural Networks Models

  • 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).

Published
2015-03-27
Section
T 180 TELECOMMUNICATION ENGINEERING