In this paper we propose an adaptive rate based congestion control mechanism based on the leaky bucket scheme.The parameters of the mechanism are controlled using(delayed)feedback information sent by the network.The network is modeled as a multiplexer fed by a number of sources each of which is controlled by a leaky bucket.We examine a simple threshold policy at the multiplexer queue to detect congestion.A Markovian state-space representation of the system is provided,which is used for an efficient simulation of the system.Our study addresses the effects of propagation delay and the parameters of the control scheme on the performance.Our results indicate that even for large propagation delay,both an appropriate feedback policy at the sources,and a proper adaptive mechanism at the leaky buckets will improve the system performance considerably.
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