Network Traffic Prediction Using ARIMA and Neural Networks Models

Electronics and Electrical Engineering 2008
Gundega Rutka

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

Atslēgas vārdi
Network Traffic Prediction, Neural Networks
Hipersaite
http://eejournal.ktu.lt/index.php/elt/article/view/11132

Rutka, G. Network Traffic Prediction Using ARIMA and Neural Networks Models. Electronics and Electrical Engineering, 2008, Vol. 84, No. 4, 47.-52.lpp. ISSN 1392-1215. e-ISSN 2029-5731.

Publikācijas valoda
English (en)