The concept of multiplexing voice traffic sent over IP protocol (VoIP) on a common channel for efficient utilisation of the transmission link capacity is a great concern to network engineers. A VoIP gateway allocates a channel capacity that lies between the average and peak rates of traffic intensity and buffers the traffic during periods when demand exceeds channel capacity. In order to evaluate performance of the gateway a traffic model is needed. In this work we propose Markov Modulated Poisson Process (MMPP) for modelling of multiplexed VoIP traffic, generated by a number of independent sources, which flows into a VoIP gateway. We apply this model to analytical analysis of the gateway performance using fluid flow modelling techniques. We give a cumulative distribution function of the number of packets in the gateway buffer and evaluate it against the simulation.


Markov Chain Voice Packet Markov Modulate Poisson Process Public Switch Telephone Network Statistical Multiplexer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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© Springer 2007

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  • Arkadiusz Biernacki

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