To model possible suggested changes in TCP window adap tation in response to randomized feedback, such as ECN, we formulate a generalized verslon of the TCP congestion avoidance algorithm. We first consider multiple such generalized TCP flows sharing a bottleneck M e r under the Assured Service model and use a Rxed point technique to obtain the mean window sizes and throughputs for the TCP flows. To further study how changes in the adaptation algorithm affect the variability in the throughput,

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... e use an analytical-eum-numerical technique to derive the window distribution (and related statistics) of a single generalized flow under state-dependent randomized congestion feedback.