Computer network traffic analysis with the use of statistical self-similarity factor
Dymora, PaweÅ, Mazurek, MirosÅaw, StrzaÅka, Dominik · Studia Iuridica Lublinensia (Uniwersytet Marii Curie-Skłodowskiej w Lublinie) · 2015
The optimal computer network performance models require accurate traffic models, which can capture the statistical characteristic of actual traffic. If the traffic models do not represent traffic accurately, one may overestimate or underestimate the network performance. The paper presents confirmation of the self-similar nature of the selected protocols in the computer network communication layer. It shows that the good measure of self-similarity is a Hurst factor.