Statistical multiplexing of correlated variable-length packet trains: An analytic performance study

Statistical multiplexing of correlated variable-length packet trains: An analytic performance study

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Article ID: iaor20014215
Country: United Kingdom
Volume: 52
Issue: 3
Start Page Number: 318
End Page Number: 327
Publication Date: Mar 2001
Journal: Journal of the Operational Research Society
Authors: , ,
Keywords: communication
Abstract:

We consider a statistical multiplexer which is modeled as a discrete-time single-server queueing system. Messages consisting of a variable number of fixed-length packets arrive to the multiplexer at the rate of one packet per slot (‘train arrivals’), which results in what we call a primary correlation in the packet arrival process. The distribution of the message lengths (in terms of packets) is general. Additionally, the arrival process exhibits a secondary correlation, which results from the fact that the distribution of the number of leading packet arrivals in a slot depends on some environment variable. We assume this environment to have two possible states, each with geometric sojourn times. By using generating functions and an infinite-dimensional state description, we derive closed-form expressions for the mean, the variance and the tail distribution of the buffer contents in the steady state. Some numerical examples illustrate the effect of both primary and secondary correlation on the multiplexer performance.

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