Modeling random early detection in a differentiated services network

An analytical framework for modeling a network of Random Early Detection (RED) queues with mixed traffic types (e.g. TCP and UDP) is developed. Expressions for the steady state goodput for each flow and the average queuing delay at each queue are derived. The framework is extended to include a class of RED queues that provides differentiated services for flows with multiple classes. Finally, the analysis is validated against ns simulations for a variety of RED network configurations where it is shown that the analytical results match with those of the simulations within a mean error of 5%. Several new analytical results are obtained; TCP throughput formula for a RED queue; TCP timeout formula for a RED queue and the fairness index for RED and Tail-Drop.