Video traffic is widely expected to account for a large portion of the traffic in future wireline
and wireless networks, as multimedia applications are becoming increasingly popular …

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 …

Demonstrates that Ethernet LAN traffic is statistically self-similar, that none of the commonly
used traffic models is able to capture this fractal-like behavior, that such behavior has …

Network arrivals are often modeled as Poisson processes for analytic simplicity, even
though a number of traffic studies have shown that packet interarrivals are not exponentially …

This comprehensive text gives an interesting and useful blend of the mathematical,
probabilistic and statistical tools used in heavy-tail analysis. It is uniquely devoted to heavy …

The Internet has been a startling and dramatic success. Originally designed to link together
a small group of researchers, the Internet is now used by many millions of people. However …

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 …

We analyze 20 large sets of actual variable-bit-rate (VBR) video data, generated by a variety
of different codecs and representing a wide range of different scenes. Performing extensive …

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

State of the art, real-time, rate-adaptive, multimedia applications adjust their transmission
rate to match the available network capacity. Unfortunately, this source-based rate …