One role for workload generation is as a means for understanding how servers and
networks respond to variation in load. This enables management and capacity planning …

Since the seminal study of Leland, Taqqu, Willinger, and Wilson, which set the groundwork
for considering self‐similarity an important notion in the understanding of network traffic …

Recent work on face identification using continuous density Hidden Markov Models (HMMs)
has shown that stochastic modelling can be used successfully to encode feature information …

The notion of self-similarity has been shown to apply to wide-area and local-area network
traffic. We show evidence that the subset of network traffic that is due to World Wide Web …

To support bursty traffic on the Internet (and especially WWW) efficiently, optical burst
switching (OBS) is proposed as a way to streamline both protocols and hardware in building …

A number of empirical studies of traffic measurements from a variety of working packet
networks have demonstrated that actual network traffic is self-similar or long-range …

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 recent discovery of scaling phenomena in modern communication networks involving
self-similarity or fractals and power-law or heavy-tailed distributions is yet another realization …

Simulating how the global Internet behaves is an immensely challenging undertaking
because of the network's great heterogeneity and rapid change. The heterogeneity ranges …

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 …