caa a22 4500 475789822 CHVBK 20180406123708.0 cr unu---uuuuu 170329e20001201xx s 000 0 eng 10.1023/A:1019199013546 doi (NATIONALLICENCE)springer-10.1023/A:1019199013546 MMPP models for multimedia traffic [Elektronische Daten] [Shahram Shah‐Heydari, Tho Le‐Ngoc] The paper presents a study on the use of Markov‐Modulated Poisson Processes (MMPP's) for characterizing multimedia traffic with short‐term and long‐term correlation. The applicability of the 2‐state MMPP and a refined moment‐based parameter‐matching technique to model an arbitrary ATM traffic stream in evaluating its queueing performance are examined by simulation. Following a discussion on the limitation of the 2‐state MMPP model, a model using a superposition of N homogeneous 2‐state MMPP to characterize bursty multimedia traffic is presented. The proposed model requires only five parameters which can be estimated from the samples of the traffic counting process by using a pdf‐based matching technique. The introduced pdf‐based parameter‐matching procedure uses the probability density function of the arrival rate and the IDC curve of the traffic samples. An approximation for the probability of loss in MMPP/D/1 queues is also obtained. The versatility and accuracy of the proposed model to characterize bursty multimedia traffic are shown by several case studies and test results. Kluwer Academic Publishers, 2000 Shah‐Heydari Shahram Department of Electrical and Computer Engineering, Concordia University, H3G 1M8, Montréal, Québec, Canada aut Le‐Ngoc Tho Department of Electrical and Computer Engineering, McGill University, H3A 2A7, Montréal, Québec, Canada aut Telecommunication Systems Kluwer Academic Publishers 15/3-4(2000-12-01), 273-293 1018-4864 15:3-4<273 2000 15 11235 https://doi.org/10.1023/A:1019199013546 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1019199013546 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shah‐Heydari Shahram Department of Electrical and Computer Engineering, Concordia University, H3G 1M8, Montréal, Québec, Canada aut NATIONALLICENCE 700 1- Le‐Ngoc Tho Department of Electrical and Computer Engineering, McGill University, H3A 2A7, Montréal, Québec, Canada aut NATIONALLICENCE 773 0- Telecommunication Systems Kluwer Academic Publishers 15/3-4(2000-12-01), 273-293 1018-4864 15:3-4<273 2000 15 11235 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer