Title :
MMPP modeling of aggregated ATM traffic
Author :
Shah-Heydari, Shahram ; Le-Ngoc, Tho
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
Abstract :
The paper presents a study on the use of Markov-modulated Poisson processes (MMPPs) in modeling aggregate ATM traffic in order to evaluate the queueing performance. Performance of various techniques for matching a 2-state MMPP to a superposition of on-off sources is compared. The applicability of the 2-state MMPP and its corresponding parameter matching techniques to model an arbitrary aggregate ATM traffic in evaluating its queueing performance are examined by simulation. A refined matching technique for a 2-state MMPP model is proposed. A procedure to estimate the four parameters of a 2-state MMPP from the measured arrivals suitable for the moment-based matching technique is presented. Test cases are given to illustrate the accuracy of the proposed estimation procedure. An approximation for the survivor function is derived
Keywords :
Markov processes; asynchronous transfer mode; parameter estimation; queueing theory; telecommunication traffic; 2-state MMPP; MMPP modeling; Markov-modulated Poisson processes; aggregated ATM traffic; approximation; estimation procedure; moment-based matching technique; on-off sources; parameter matching techniques; queueing performance; refined matching technique; survivor function; Aggregates; Delay; Laplace equations; Quantum computing; Stochastic processes; Testing; Traffic control;
Conference_Titel :
Electrical and Computer Engineering, 1998. IEEE Canadian Conference on
Conference_Location :
Waterloo, Ont.
Print_ISBN :
0-7803-4314-X
DOI :
10.1109/CCECE.1998.682568
