Advanced traffic modeling: fitting third order moments

Author

Potemans, J. ; Theunis, J. ; Van Den Broeck, B. ; Leys, P. ; Van Lil, E. ; van de Capelle, A.

Author_Institution

Dept. of Electr. Eng., Katholieke Univ., Leuven, Belgium

Volume

7

fYear

2003

fDate

1-5 Dec. 2003

Firstpage

3873

Abstract

We have presented an efficient discrete model for the generation of self-similar traffic (Potemans, J. et al., Proc. ICC´03, 2003). The model is based on a hierarchical scheme of Bernoulli sources, each working on a different timescale. The major advantage of the model is that it allows traffic to be generated with an arbitrary combination of the Hurst parameter, the variance and the mean. We further refine this model by also fitting third order moments of traffic and by compensating for non-stationary effects. A comparison of the queuing behavior of measured traffic and synthetically generated traffic shows that these refinements make the model more accurate.

Keywords

modelling; queueing theory; statistical distributions; telecommunication traffic; Hurst parameter; advanced traffic modeling; hierarchical Bernoulli sources; mean; nonstationary effects; queuing behavior; self-similar traffic generation; third order moments; variance; Local area networks; Performance analysis; Switches; Telecommunication traffic; Traffic control; Wide area networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2003. GLOBECOM '03. IEEE

Print_ISBN

0-7803-7974-8

Type

conf

DOI

10.1109/GLOCOM.2003.1258956

Filename

1258956