Abstract
The authors analyse a discrete-time based finite queueing model with deterministic service times and a Markov modulated batch Bernoulli process (MMBBP) as a bursty input traffic model in order to investigate the performance of a double threshold based dynamic bandwidth allocation scheme for IP traffic on ATM networks. It is assumed that the segmentation processing time devoted to each cell requires several slot times. In an MMBBP process, the arrivals during a slot time occur as batch Bernoulli processes with the batch size distributions varying according to the phases of a Markov chain. As performance measures, the packet loss probability and the mean packet delay of an arbitrary packet are obtained. Some numerical results are presented to show the performance of the dynamic bandwidth allocation scheme.
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