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 …

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 …

An on-line version of the Abry-Veitch (see IEEE GLOBECOM'98, Sydney, Australia, p. 3716-
21, 1998) wavelet-based estimator of the Hurst parameter is presented. It has very low …

A joint estimator is presented for the two parameters that define the long-range dependence
phenomenon in the simplest case. The estimator is based on the coefficients of a discrete …

Over the last few years, the network community has started to make heavy use of novel
concepts such as self-similarity and long-range dependence (LRD). Despite their wide use …

This chapter is an overview of a relatively recent application of long-range dependence
(LRD) to the area of communication networks, in particular to problems concerned with the …

This paper addresses the question of whether self-similar processes are sufficient to model
packet network traffic, or whether a broader class of multifractal processes is needed. By …

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 …

Previous studies have demonstrated that measured wide-area network traffic such as
Internet traffic exhibits locally complex irregularities, consistent with multifractal behavior. It …

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 …