The MGT fluid model has been used extensively to guide designs of AQM schemesaiming to alleviate adverse effects of Internet congestion. In this paper, weprovide a new analysis of a TCP/AQM system that aims to improve the accuracy ofthe MGT fluid model especially in heavy traffic conditions. The analysis isbased on the consideration of two extreme congestion scenarios that leads tothe derivation of upper and lower bounds for the queue length and markingprobability dynamics and showing that they approach each other in steady state.Both discrete and continuous time models are provided. Simulation resultsdemonstrate that the new model achieves a significantly higher level ofaccuracy than a simplified version of the MGT fluid model.
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