Title :
Rate-based versus queue-based models of congestion control
Author :
Deb, Supratim ; Srikant, R.
Author_Institution :
Lucent Bell Labs, Bangalore, India
fDate :
4/1/2006 12:00:00 AM
Abstract :
Mathematical models of congestion control capture the congestion indication mechanism at the router in two different ways: Rate-based models, where the queue-length at the router does not explicitly appear in the model, and queue-based models, where the queue length at the router is explicitly a part of the model. Even though most congestion indication mechanisms use the queue length to compute the packet marking or dropping probability to indicate congestion, we argue that, depending upon the choice of the parameters of the active queue management (AQM) scheme, one would obtain a rate-based model or a rate-and-queue-based model as the deterministic limit of a stochastic system with a large number of users.
Keywords :
queueing theory; stochastic systems; telecommunication congestion control; telecommunication network management; telecommunication network routing; active queue management; congestion control; packet dropping probability; packet marking; queue-based model; rate-based model; router; stochastic system; Internet; Stochastic processes; Stochastic systems; Active queue; congestion control; fluid models;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2006.872839