An intelligent usage parameter controller based on dynamic rate leaky bucket for ATM networks

In this paper we present a high performance intelligent traffic controller based on dynamic rate leaky bucket algorithm. In our proposed model, by using a fuzzy controller, the leaky rate is dynamically tuned according to the state of traffic source. Control actions are taken based on real time estimation of actual mean cell rate. Simulation results show that the proposed traffic controller has a high selectivity, good dynamic behavior and has also a null false alarm probability. To achieve the benefits of statistical multiplexing gain, the proposed traffic controller employs a network congestion feedback to take a decision to discard or tag the input violating cells. It is seen that the proposed fuzzy traffic controller protects the QoS of well-behavior connections far better than any traditional traffic controller does.