Title On network traffic statistical analysis /
Translation of Title Kompiuterių tinklo apkrovos statistinės analizės klausimu.
Authors Kaklauskas, Liudvikas ; Sakalauskas, Leonidas
DOI 10.15388/LMR.2008.18116
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Is Part of Lietuvos matematikos rinkinys. 2008, t. 48/49. ISSN 0132-2818
Keywords [eng] self-similarity ; computer network ; fractality
Abstract [eng] The present article deals with statistical university network traffic, by applying the methods of self-similarity and chaos analysis. The object of measurement is Šiauliai University LitNet network node maintaining institutions of education of the northern Lithuania region. Time series of network traffic characteristics are formed by registering amount of information packets in a node at different regimes of network traffic and different values of discretion of registered information are present. Measurement results are processed by calculating Hurst index and estimating reliability of analysis results by applying the statistical method. Investigation of the network traffic allowed us drawing conclusions that time series bear features of self-similarity when aggregated time series bear features of slowly decreasing dependence.
Type Journal article
Language English
Publication date 2008
CC license CC license description