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
Keywords
Network Traffic Prediction, Neural Networks
Hyperlink
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, pp.47-52. ISSN 1392-1215. e-ISSN 2029-5731.
Publication language
English (en)