In this paper we use fixed point methods to model the behavior of a population of TCP flows traversing a network of routers implementing either Drop Tail or the RED queue management policies. We formulate a non-linear problem with the router average queue lengths as unknowns. Once the average queue lengths are obtained, other metrics such as router loss probability, TCP flow throughput, TCP flow end-to-end loss rates, and average round trip time can be easily obtained. Comparison with simulation for a variety of scenarios shows that the model is quite accurate in its predictions.
Fixed Point Approximations for TCP Behavior in Networks of Routers
GAETA, Rossano;MANINI, DANIELE;SERENO, Matteo
2006-01-01
Abstract
In this paper we use fixed point methods to model the behavior of a population of TCP flows traversing a network of routers implementing either Drop Tail or the RED queue management policies. We formulate a non-linear problem with the router average queue lengths as unknowns. Once the average queue lengths are obtained, other metrics such as router loss probability, TCP flow throughput, TCP flow end-to-end loss rates, and average round trip time can be easily obtained. Comparison with simulation for a variety of scenarios shows that the model is quite accurate in its predictions.File in questo prodotto:
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