@inproceedings{c7a0399bd07949f480256ec7ef584229,
title = "A parsimonious multifractal model for WWW traffic",
abstract = "In this paper, we capture the main characteristics of WWW traffic in a stochastic model, which can be used to generate synthetic WWW traces and assess WWW cache designs. To capture temporal and spatial localities, we use a modified version of Riedi et al.'s multifractal model [18], where we reduce the complexity of the original model from O(N) to O(1); N being the length of the synthetic trace. Our model has the attractiveness of being parsimonious and that it avoids the need to apply a transformation to a self-similar model (as often done in previously proposed models [2]), thus retaining the temporal locality of the fitted traffic. Furthermore, because of the scale-dependent nature of multifractal processes, the proposed model is more flexible than monofractal models in describing irregularities in the traffic. Trace-driven simulations are used to demonstrate the goodness of the proposed model.",
keywords = "Multifractals, Self-similarity, Stack distance, WWW modeling, Web caching",
author = "Abdullah Balamash and Marwan Krunz",
year = "2002",
doi = "10.1007/3-540-45745-3_1",
language = "English (US)",
isbn = "3540441778",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "1--14",
editor = "Enrico Gregori and Ludmila Cherkasova and Gianpaolo Cugola and Fabio Panzieri and Picco, {Gian P.}",
booktitle = "Web Engineering and Peer-to-Peer Computing - NETWORKING 2002 Workshops, Revised Papers",
note = "International Workshop on Web Engineering and Peer-to-Peer Computing, NETWORKING 2002 ; Conference date: 19-05-2002 Through 24-05-2002",
}