Asynchronous transfer mode traffic modeling with Markov renewal process and performance analysis

In order to build and manage an ATM network effectively under several types of control methods, it is necessary to estimate the performance of the equipments in various viewpoints, especially of ATM multiplexer. As for the method to model the input stream into the ATM multiplexer, many researches have been done to characterize it by, for example, fluid flow, MMPP (Markov Modulated Poisson Process), or MMDP (Markov Modulated Deterministic Process). We introduce an MRP (Markov Renewal Process) to model the input stream which has proper structure to represent the burst traffic with high correlation. In this paper, we build a model for aggregated heterogeneous ON–OFF sources of ATM traffic by MRP. We make discrete time MR/D/1/B queueing system, whose input process is the superposed MRP and present a performance analysis by finding CLP (Cell Loss Probability). A simulation is done to validate our algorithm.