Searching for determinants of self-similarity of HTTP traffic on a Web server

Alicja Dembczak, Grażyna Suchacka


The paper concerns the investigation of statistical self-similarity of HTTP traffic on a Web server and factors that may affect it. The Hurst parameter was estimated using three various methods, a degree of Web traffic burstiness was determined by computing so-called burstiness parameters and then the correlation of the mean Hurst parameter with the burstiness parameters and other traffic features was examined.


self-similarity; Hurst parameter; Web traffic burstiness; access log; Web server

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