Fractal analysis and modeling of VoIP traffic

Author

Dang, Trang Dirth ; Sonkoly, Balázs ; Molnár, Sandor

Author_Institution

Dept. of Telecommun. & Media Informatics, Budapest Univ. of Technol. & Econ., Hungary

fYear

2004

fDate

13-16 June 2004

Firstpage

123

Lastpage

130

Abstract

In This work a fractal analysis study of VoIP traffic is presented. The characteristics of measured VoIP traffic on both call and packet level have been investigated. The results support the popular Poisson process for VoIP call arrival modeling but we argue that the call holding times follow heavy-tailed distributions rather than exponential distributions. We propose the generalized Pareto distribution for modeling the call holding times. At the packet level we have found that the exponential modeling of on and off periods is also inappropriate and heavy-tailed characteristics have been identified in case of all the investigated VoIP codecs. The generalized Pareto distribution can be used as an accurate model for the on and off periods too. In the analysis we revealed that the aggregated VoIP traffic has fractal characteristics and we suggest the fractional Gaussian noise model for the aggregated VoIP traffic.

Keywords

Gaussian noise; Internet telephony; Pareto distribution; telecommunication traffic; transport protocols; Poisson process; VoIP traffic modeling; call holding times; fractal analysis; fractional Gaussian noise model; generalized Pareto distribution; heavy-tailed distributions; packet level; Codecs; Detectors; Electronic mail; Exponential distribution; Fractals; High-speed networks; Internet telephony; Speech analysis; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications Network Strategy and Planning Symposium. NETWORKS 2004, 11th International

Print_ISBN

3-8007-2840-0

Type

conf

DOI

10.1109/NETWKS.2004.1341826

Filename

1341826