Non-Gaussian characteristic and FARIMA(p,d,q) traffic models

Author

Jin, Zhigang ; Shu, Yantai ; Jiakun Lui ; Yang, Oliver W W

Author_Institution

Dept. of Comput. Sci., Tianjin Univ., China

Volume

1

fYear

2001

fDate

2001

Firstpage

691

Abstract

Extensive measurements of real-life traffic demonstrate that the probability density function of the traffic has a non-Gaussian feature. If a traffic model cannot capture this characteristic any analytical or simulation results will not be accurate. Hence, this paper studies the impact of non-Gaussian traffic on network performance, and presents an approach that can accurately model the marginal distribution of real-life traffic while accounting for both the longand short-range dependence. We validate our promising procedure by simulation

Keywords

fractals; local area networks; performance evaluation; probability; queueing theory; telecommunication traffic; wide area networks; Ethernet traffic; FARIMA(p,d,q) traffic models; WAN traffic; fractal characteristics; fractional autoregressive integrated moving average; long-range dependence; marginal distribution; network performance; nonGaussian characteristic; nonGaussian traffic; probability density function; real-life traffic measurements; self-similarity; short-range dependence; simulation; simulation results; Autocorrelation; Buildings; Computational modeling; Computer science; Density measurement; Mathematical model; Predictive models; Probability density function; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2001. Canadian Conference on

Conference_Location

Toronto, Ont.

ISSN

0840-7789

Print_ISBN

0-7803-6715-4

Type

conf

DOI

10.1109/CCECE.2001.933768

Filename

933768