Michael Mitzenmacher. Dynamic models for file sizes and double pareto distributions, 2002. Preprint.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....to accept the power law type distributions for file or Web document sizes. However, we also want to point out that studies that attempt to explain the power law type behavior of file sizes or firm sizes are of interest in their own right and have attracted considerable attention (e.g. 33] 14] [25], 4] A major contribution of this paper is make the AS business model concept a vital part of the multivariate HOT model for Internet growth at the AS PC level. By abstracting the vague concept to an intuitively appealing but admittedly naive mathematical toy model, we demonstrated its ....

M. Mitzenmacher. Dynamic Models for File Sizes and Double Pareto Distributions, 2002. preprint.

....each intermediate page (i.e. non leaf) v (a) Pv is equal to the sum of the leaf pages descendant to v is modeled with lognormal distribution for values smaller than 133KBytes. Downey [12] creates a model that suggests that file sizes are modeled only by a lognormal distribution. Mitzenmacher [28] points out why the arguments of Downey yield only a lognormal distribution. Mitzenmacher corroborates the results of Barford et al. and suggests a double Pareto distribution for the body of the curve and a Pareto distribution for the tail. Assuming that the model proposed by Barford et al. 5] ....

Michael Mitzenmacher. Dynamic models for file sizes and double pareto distributions. http://citeseer.nj.nec.com/mitzenmacher02dynamic.html, 2002. Preprint.

....have on traffic characteristics. In [14] Crovella and Bestavros argued that the origins of traffic selfsimilarity can be attributed to the heavy tailed nature of individual file transfers, which was traced back to the heavy tailed size distribution of available files. More recent debates [16] [24] as to the true nature of file size distributions (whether Pareto, double Pareto, or Lognormal) further underscore the importance of accurate characterization (and understanding of the root causes) of transfer time distributions. For live media content workloads, the long tail of the request ON ....

Michael Mitzenmacher. Dynamic models for file sizes and double pareto distributions, 2002. Preprint.

....may have on traffic characteristics. In [14] Crovella and Bestavros argued that the origins of traffic selfsimilarity can be attributed to the heavy tailed nature of individual file transfers, which was traced back to the heavy tailed size distribution of available files. More recent debates [16, 24] as to the true nature of file size distributions (whether Pareto, double Pareto, or Lognormal) further underscore the importance of accurate characterization (and understanding of the root causes) of transfer time distributions. It is important to note that transfer lengths do not necessarily ....

Michael Mitzenmacher. Dynamic models for file sizes and double pareto distributions, 2002. Preprint.

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Michael Mitzenmacher. Dynamic models for file sizes and double pareto distributions, 2002. Preprint.

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Michael Mitzenmacher. Dynamic models for file sizes and double pareto distributions, 2002. Preprint.

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M. Mitzenmacher. Dynamic models for file sizes and double pareto distributions. http://citeseer.nj.nec.com/mitzenmacher01dynamic.html, 2002.

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