Correlated interarrival time Poisson process (CIPP) has been proposed in Pr
oceedings of the Fifth Biennial Conference on Signal Processing and Communi
cations (SPCOM'99), IISc, Bangalore, July 1999, pp. 43-50; J. Indian Inst.
Sci. 79 (3) (1999) 233-249] for modeling both the composite arrival process
of packets in broadband networks and the individual video source modeling.
The CIPP - a generalization of the Poisson process - is a stationary count
ing process and is parameterized by correlation parameter 'rho'. the degree
of correlation in adjacent interarrivals and 'lambda', the intensity of th
e process. In this paper, we develop the theory for CIPP/M/1 queue and unde
rtake the performance modeling of statistical multiplexer with VBP video tr
affic in broadband networks using the CIPP/M/1 queue. We first derive the e
xpressions for stationary distributions for queue length and waiting time i
n a CIPP/M/1 queue. Then, we derive the queuing performance measures of int
erest. For reasons of feasibility of theoretical performance modeling and r
ealistic compulsions, we propose a deterministic smoothing with random (geo
metrically distributed) packet sizes. We simulate a queue with (thus smooth
ed) VER video trace data as input to compare with the theoretical performan
ce measures derived above. Experimental results show that the CIPP/M/1 queu
e models well the statistical multiplexer performance with the real-world M
PEG-1 VER video traffic input. (C) 2001 Elsevier Science B.V. All rights re
served.