Z. Pan, E. Altman, and T. Basar, "Robust adaptive flow control in high speed telecommunicationsnetworks," in Proc. 35th IEEE Conf. on Decision and Control, Dec. 1996, pp. 1341--1346.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....congestion control mechanism. Once an appropriate model of the end to end packet delay dynamics is obtained, it is possible to apply the optimal control theory to design an e#cient delay based congestion control mechanism (for an example application of the optimal control theory, see, e.g. [7, 8]) We use the ARX model in this paper since it is simple but also suitable for application of the control theory. The ARX model is easy to handle, and its coe#cients are easily determined with a little computational burden. This paper is organized as follows. In Section 2, we summarizes related ....

Z. Pan, E. Altman, and T. Bassar, "Robust adaptive flow control in high speed telecommunication networks," in Proceedings of the 35th IEEE Conference on Decision and Control, Dec. 1996.

.... to achieve better performance by incorporating control theoretic techniques, including proportional derivative (PD) controllers [9] 10] 17] 30] and those using optimal control and dynamic game techniques such as linear quadratic (LQ) team, H 1 , and noncooperative game controllers [12] [13], 11] We motivate our work by noticing that most of the above control schemes are designed for constant or slowly varying service rates (with the exception of the LQ team and the H 1 controllers, which do consider short term variation in the service rate) These controllers aim to balance ....

....performance improvements over the PD controller when small time scale bandwidth variations are present. Although MMF models have been extensively employed in network performance analysis (e.g. 2] 3] our work is the first to exploit such models for rate based congestion control. In [12] [13], the authors model cross traffic by an auto regressive moving average process corrupted by a sequence of independent and identically distributed random numbers with zero mean and finite variance. Compared with [12] 13] MMF models have more structure, and better performance is therefore ....

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Z. Pan, E. Altman, and T. Basar, "Robust adaptive flow control in high speed telecommunicationsnetworks," in Proc. 35th IEEE Conf. on Decision and Control, Dec. 1996, pp. 1341--1346.

....stability in the queue length. This gives some credibility to the rate matching schemes proposed by others and proposed here (although this dissertation suggests extending this rate matching scheme to include buffer matching. See Section 4. 4) Two more contributions came in 1995 [13] and 1996 [14]. These assume essentially the same model of [11] but propose a more complex H controller. Reference [13] assumes that the ARMA plant model parameters are known. Reference [14] assumes no knowledge of these ARMA parameters and instead of certainty equivalence, combines identification . ....

....rate matching scheme to include buffer matching. See Section 4.4) Two more contributions came in 1995 [13] and 1996 [14] These assume essentially the same model of [11] but propose a more complex H controller. Reference [13] assumes that the ARMA plant model parameters are known. Reference [14] assumes no knowledge of these ARMA parameters and instead of certainty equivalence, combines identification . with the ( H ) control in a novel way [14] 18 In 1997 [15] and 1998 [16] Altman, Basar and Srikant admit multiple sources, each with potentially a different action delay. The ....

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Z. Pan, E. Altman and T. Basar, Robust Adaptive Flow Control in High Speed Telecommunication Networks, Proceedings of the 35th IEEE Conference on Decision and Control , Dec. 1996.

.... several control theoretic approaches have been studied, including proportional derivative (PD) controllers and their variants [12] 13] 20] and those using optimal control and dynamic game techniques such as linear quadratic (LQ) team, H 1 , and noncooperative game controllers [15] [16], 14] We motivate our work by noticing that most of the above control schemes are designed for constant or slowlyvarying service rates (with the exception of the LQ team and the H 1 controllers, which do consider short term variation in the service rate) We call these connectionlevel ....

....performance improvements over conventional controllers when small time scale bandwidth variations are present. Although MMF models have been extensively employed in network performance analysis, our work is the first to exploit such models for rate based congestion control. In previous work, 15] [16] model cross traffic at the bottleneck node by an auto regressive moving average process corrupted by a sequence of independent and identically distributed random numbers with zero mean and finite variance. Compared with [15] 16] our MMF model has more structure and better performance is ....

[Article contains additional citation context not shown here]

Z. Pan, E. Altman, and T. Basar, "Robust adaptive flow control in high speed telecommunications networks," in Proc. 35th IEEE Conf. on Decision and Control, Dec. 1996, Kobe, Japan, pp. 1341-- 1346.

No context found.

Z. Pan, E. Altman, and T. Basar, "Robust adaptive flow control in high speed telecommunicationsnetworks," in Proc. 35th IEEE Conf. on Decision and Control, Dec. 1996, pp. 1341--1346.

No context found.

Z. Pan, E. Altman, and T. Basar, "Robust adaptive flow control in high speed telecommunicationsnetworks," in Proc. 35th IEEE Conf. on Decision and Control, Dec. 1996, pp. 1341--1346.

No context found.

Z. Pan, E. Altman, and T. Bassar, "Robust adaptive flow control in high speed telecommunication networks, " in Proceedings of the 35th IEEE Conference on Decision and Control, Dec. 1996.

No context found.

Z. Pan, E. Altman and T. Basar, "Robust Adaptive Flow Control in High Speed Telecommunication Networks," (invited paper) the proceedings of the 35th IEEE Conference on Decision and Control , Kobe, Japan, Dec. 1996.

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