A control theoretical approach to congestion control of TCP/AQM networks
T Alvarez, A Salim, JM Maestre - 2009 European Control …, 2009 - ieeexplore.ieee.org
T Alvarez, A Salim, JM Maestre
2009 European Control Conference (ECC), 2009•ieeexplore.ieee.orgThis paper shows how control techniques, such as PID or generalized predictive control, can
improve the performance of TCP/IP networks when dealing with congestion. Drop tail, or
more sophisticated AQM techniques such as RED, perform worse than process control
techniques. A comparison between the different methods in different working scenarios is
analyzed. Two different GPC controllers are evaluated. One considers the model resulting
from on-line identification and the other is the linearization of the non-linear model.
improve the performance of TCP/IP networks when dealing with congestion. Drop tail, or
more sophisticated AQM techniques such as RED, perform worse than process control
techniques. A comparison between the different methods in different working scenarios is
analyzed. Two different GPC controllers are evaluated. One considers the model resulting
from on-line identification and the other is the linearization of the non-linear model.
This paper shows how control techniques, such as PID or generalized predictive control, can improve the performance of TCP/IP networks when dealing with congestion. Drop tail, or more sophisticated AQM techniques such as RED, perform worse than process control techniques. A comparison between the different methods in different working scenarios is analyzed. Two different GPC controllers are evaluated. One considers the model resulting from on-line identification and the other is the linearization of the non-linear model.
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