The complexity and richness of telecommunications traffic is such that one may despair to
find any regularity or explanatory principles. Nonetheless, the discovery of scaling behavior …

The presence of scaling behavior in telecommunications traffic is striking not only in its
ubiquity, appearing in almost every kind of packet data, but also in the wide range of scales …

In the mid 1990s, it was shown that the statistics of aggregated time series from Internet
traffic departed from those of traditional short range-dependent models, and were instead …

The fluctuations of Internet traffic possess an intricate structure which cannot be simply
explained by long-range dependence and self-similarity. In this work, we explore the use of …

Heterogeneous network traffic possesses diverse statistical properties which include
complex temporal correlation and non-Gaussian distributions. A challenge to modeling …

A wavelet-based tool for the analysis of long-range dependence and a related semi-
parametric estimator of the Hurst parameter is introduced. The estimator is shown to be …

Using the ns-2-simulator to experiment with different aspects of user-or session-behaviors
and network configurations and focusing on the qualitative aspects of a wavelet-based …

Traffic modeling of today's communication networks is a prime example of the role statistical
inference methods for stochastic processes play in such classical areas of applied …

In this paper, we report on some preliminary results from an in-depth, wavelet-based
analysis of a set of high-quality, packet-level traffic measurements, collected over the last 6-7 …

We introduce a new approach to the modeling of network traffic, consisting of a semi-
experimental methodology combining models with data and a class of point processes …