Novel bandwidth requirement estimation based on exact large deviation asymptotics

This paper deals with bandwidth requirement estimators in buffered statistical multiplexers with the underlying large deviation many sources asymptotics modeling framework. Within this multiplexer model asymptotically exact approximation for buffered workload loss ratio is considered. Based on this, a direct and computationally feasible equivalent capacity estimate is presented in full accordance with the corresponding QoS constraints. This means that an equation involving a function of the large deviation rate function is solved symbolically with respect to the bandwidth requirement estimate. Analytical considerations and numerical investigations illustrate the usefulness of the novel estimate.