Solver for TCP flows in a network

Abstract

Quality of Service (QOS) of a congested network can be evaluated by some key factors such as packets discarding rate, queueing delay and the throughput of a bottleneck buffer. A network designer needs to predict these parameters in order to dimension a network properly. This thesis developed a solver for predicting the stability of a TCP network when servers implement Active Queue Management (AQM) schemes. The solver analyzes two AQM schemes. One is Random Early Detection (RED) and the other is Dynamic Random Early Detection (DRED). We verify the analysis of the solver through the simulation of a small network with multiple bottlenecks carrying a large number of TCP connections.