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)