Parameter estimation of switched Poisson process models for short- and long-range dependent traffic

Author

Shah-Heydari, Shahram ; LE-NGOC, THO

Author_Institution

Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont., Canada

Volume

2

fYear

2003

fDate

4-7 May 2003

Firstpage

1035

Abstract

This paper presents a technique for modeling and parameter estimation of short-range dependent (SRD) and long-range dependent (LED) multimedia traffic based on Markov-modulated and Pareto-modulated Poisson processes. The proposed technique uses samples of the traffic counting process to derive its IDC curve and probability density function for parameter matching of the long-range and short-range dependent traffic models. Simulation results on the accuracy of the proposed technique are also presented.

Keywords

Markov processes; Pareto analysis; multimedia communication; parameter estimation; telecommunication traffic; IDC curve; Markov-modulated Poisson process; Pareto-modulated Poisson processes; long-range dependent multimedia traffic; parameter estimation; probability density function; short-range dependent multimedia traffic; switched Poisson process models; Communication system traffic control; Digital modulation; Packet switching; Parameter estimation; Probability density function; Resource management; Stochastic processes; Streaming media; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2003. IEEE CCECE 2003. Canadian Conference on

ISSN

0840-7789

Print_ISBN

0-7803-7781-8

Type

conf

DOI

10.1109/CCECE.2003.1226072

Filename

1226072