Abstract
This paper presents a novel approach to DQDB modeling in underload conditions; the innovative aspect lies in the representation of the slot-occupancy-pattern process on the forward bus. In the literature this process has been often modeled as a Bernoulli process, implying that the status (empty/busy) of consecutive slots are independent. Results presented in this paper, however, show that even at light loads the interdependence between slots is significant. Our model captures some of this interdependence by using a discrete-time first-order Markov process for the slot-occupancy-pattern process on the forward bus. In the paper we identify a simplified DQDB network for which we derive a closed formula for the joint probability density function for the slot occupancy pattern of two consecutive slots. The accuracy of our results is investigated via simulation. Finally, an application of our first-order Markov model is shown through an investigation of the performance of a gateway concentrating several DQDB networks in a slotted trunk.
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