Study on Internet Traffic Prediction Models

Electronics and Electrical Engineering 2007
Gunārs Lauks, Gundega Rutka

A view of models used for Internet data traffic prediction using neural network applications is presented. We look at the problem of traffic prediction in the presence of self-similarity. Self-similarity is an important characteristic of traffic in high-speed networks that cannot be captured by traditional traffic models. Our experiments inspect performance and prediction error using feed forward neural networks. Ill. 4, bibl. 12

Keywords
Internet data traffic prediction, neural network
Hyperlink
http://eejournal.ktu.lt/index.php/elt/article/view/10814

Lauks, G., Rutka, G. Study on Internet Traffic Prediction Models. Electronics and Electrical Engineering, 2007, Vol. 78, No. 6, pp.47-50. ISSN 1392-1215. e-ISSN 2029-5731.

Publication language
English (en)