Modeling superposition of many sources generating self similar traffic

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)22_Publication in policy or professional journal

16 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)387-391
Journal / PublicationIEEE International Conference on Communications
Volume1
Publication statusPublished - 1999
Externally publishedYes

Abstract

This paper presents steps towards creating a general model for aggregated traffic streams. We show that fitting the mean, variance and Hurst parameter is insufficient to consistently model a long range dependent traffic stream. A fourth parameter, the "level of aggregation," is required. We also show that with increased aggregation, the behaviour of a traffic stream tends towards that of a fractal Gaussian process. © 1999 IEEE.