Testing the Gaussian assumption for self-similar teletraffic models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Both the fractional Brownian motion (fBm) and the Antoregressive Integrated Moving Average (ARIMA) models have been applied to teletraffic scenarios in recent years. These models became popular after the discovery that Ethernet and VBR video data appear to possess the property of self-similarity. However the results presented in this paper suggest that Ethernet data is more impulsive than traffic generated by these models.

Original languageEnglish
Title of host publicationProceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, 1997
PublisherIEEE
Pages444-447
Number of pages4
ISBN (Print)0-8186-8005-9
DOIs
Publication statusPublished - 1997
EventIEEE Signal Processing Workshop on Higher-Order Statistics 1997 - Banff, Canada
Duration: 21 Jul 199723 Jul 1997

Conference

ConferenceIEEE Signal Processing Workshop on Higher-Order Statistics 1997
CountryCanada
CityBanff
Period21/07/9723/07/97

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