Discrete-time heavy-tailed chains, and their properties in modelling network traffic

The particular statistical properties found in network measurements, namely self-similarity and long-range dependence, cannot be ignored in modelling network and Internet traffic. Thus, despite their mathematical tractability, traditional Markov models are not appropriate for this purpose, since the...

Full description

Bibliographic Details

Main Authors:	Jose A. Hernandez Gutierrez, Iain Phillips, Javier Aracil
Format:	Default Article
Published:	2007
Subjects:	Information systems not elsewhere classified Theory of computation not elsewhere classified Other information and computing sciences not elsewhere classified Algorithms Performance Discrete-time heavy-tailed chains Heavy-tailed distributions Long-range dependence Self-similar processes Fractional Brownian motion Information Systems Computation Theory and Mathematics Information and Computing Sciences not elsewhere classified
Online Access:	https://hdl.handle.net/2134/2738
Tags:	Add Tag No Tags, Be the first to tag this record!