Title :
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
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;
Conference_Titel :
Electrical and Computer Engineering, 2003. IEEE CCECE 2003. Canadian Conference on
Print_ISBN :
0-7803-7781-8
DOI :
10.1109/CCECE.2003.1226072
