TY - JOUR
T1 - Rate-based versus queue-based models of congestion control
AU - Deb, Supratim
AU - Srikant, R.
N1 - Manuscript received April 26, 2004; revised November 26, 2005. Recommended by Associate Editor Y. Wardi. This work was supported in part by the Air Force Office of Scientific Research URI under Grant F49620-01-1-0365. S. Deb is with Lucent Bell Labs, Bangalore 560095, India (e-mail: [email protected]). R. Srikant is with the Department of Electrical and Computer Engineering and Coordinated Sciences Lab, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA (e-mail: [email protected]). Digital Object Identifier 10.1109/TAC.2006.872839
PY - 2006/4
Y1 - 2006/4
N2 - 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.
AB - 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.
KW - Active queue
KW - Congestion control
KW - Fluid models
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U2 - 10.1109/TAC.2006.872839
DO - 10.1109/TAC.2006.872839
M3 - Article
AN - SCOPUS:33645809352
SN - 0018-9286
VL - 51
SP - 606
EP - 619
JO - IEEE Transactions on Automatic Control
JF - IEEE Transactions on Automatic Control
IS - 4
ER -