Stochastic models for ATM switching networks

Models that take into account the fact that the switching speed may be appreciably greater than the speed at which some sources generate their respective cells are considered. The case is investigated where the cells making up individual bursts are spaced according to some prescribed probability distribution. It is shown that the switch performance is strongly dependent on the input parameters and it is demonstrated that analytical approaches provide useful alternatives to the lengthy simulation runs needed to evaluate probabilities of rare events, such as cell losses