Study on Internet Traffic Prediction Models

  • G. Rutka Riga Technical University
  • G. Lauks Riga Technical University

Abstract

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 (in English; summaries in English, Russian and Lithuanian)

Published
2007-07-22
How to Cite
Rutka, G., & Lauks, G. (2007). Study on Internet Traffic Prediction Models. Elektronika Ir Elektrotechnika, 78(6), 47-50. Retrieved from http://eejournal.ktu.lt/index.php/elt/article/view/10814
Section
T 180 TELECOMMUNICATION ENGINEERING