MODELING MULTIMEDIA TRAFFIC OVER ATM USING MMBP

The Markov-modulated Bernoulli process (MMBP) is widely used in modell ing traffic sources. The authors propose a so-called high-low (H/L) mo del, a two-state Markov chain, to characterise multimedia traffic on A TM-based broadband networks. The H/L model has two nonzero-valued stat es corresponding to the high-activity and the low-activity level of mu ltimedia traffic. The queue-length distribution of an ATM switch fed w ith N identical MMBP sources was derived using a probability generatin g function coupled with a matrix geometric approach. By decomposing ma trices into their spectral representation forms the queue length can b e evaluated by considering the roots of its characteristic function. N umerical results for the case of two MMBPs are also presented.