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This paper explores the virtual queue algorithm in the context of distributed congestion control for packet networks. Queueing models and simulation experiment are used to describe the behavior of the virtual queue algorithm under both slowly-varying and sudden changes in traffic demands. Here, the authors consider about the rate control problem with the objective of maximizing the total user utility. It takes into account the possible differences in user requirements, and also provides a framework for achieving a wide range of fairness objectives. In multi rate multicasting, different users within the same multicast group could receive service at different rates, depending on user requirements and network congestion level.
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