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Tytuł artykułu

An adaptive LQG TCP congestion controller for the Internet

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper addresses the problem of congestion control for transmission control protocol (TCP) traffic in the Internet. The method proposed builds on the ideas of TCP Vegas, a true feedback control approach to congestion management of TCP traffic. The new method is based on an adaptive linear quadratic Gaussian (LQG) formulation which uses an extended least squares system identification algorithm combined with optimal LQG control. Simulation experiments indicate that the new technique inherits good equilibrium properties from TCP Vegas, but has much superior transient responses which, the paper argues, is important for good dynamic congestion control.
Słowa kluczowe
Rocznik
Tom
Strony
30--37
Opis fizyczny
Bibliogr. 13 poz., il.
Twórcy
autor
autor
  • Centre for Internet Research (CIR), School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5005, Australia, Lang.White@adelaide.edu.au
Bibliografia
  • [1] V. Firoiu and M. Borden, “A study of active queue management for congestion control”, in Proc. IEEE INFOCOM 2000, Tel Aviv, Israel, 2000, vol. 3, pp. 1435–1444.
  • [2] V. Jacobson, “Congestion avoidance and control”, in Proc. SIG-COMM ’88, Stanford, USA, 1988.
  • [3] L. S. Brakmo and L. L. Peterson, “TCP Vegas: end to end congestion avoidance on a global Internet”, IEEE J. Select. Areas Commun., vol. 13, no. 8, pp. 1465–1480, 1995.
  • [4] W. Feng and S. Vanichpun, “Enabling compatibility between TCP Reno and TCP Vegas”, in Proc. IEEE 2003 Symp. Appl. Internet, Orlando, USA, 2003, pp. 301–308.
  • [5] S. Mascolo, “Smith’s principle for congestion control in highspeed data networks”, IEEE Trans. Autom. Contr., vol. 45, no. 2, pp. 358–364, 2000.
  • [6] S. H. Low, F. Paganini, and J. C. Doyle, “Internet congestion control”, IEEE Contr. Syst. Mag., vol. 22, no. 1, pp. 28–43, 2002.
  • [7] S. H. Low, L. L. Peterson, and L. Wang, “Understanding Vegas: a duality model”, J. ACM, vol. 49, no. 2, pp. 207–235, 2002.
  • [8] Y. Gao and J. C. Hou, “A state feedback control approach to stabilizing queues for ECN-enabled TCP connections”, in IEEE INFOCOM 2003, San Francisco, USA, 2003.
  • [9] P. F. Quet, S. Ramakrishnan, H. ¨Ozbay, and S. Kalyanaraman, “On the H controller design for congestion control in communications networks with a capacity predictor”, in Proc. 40th IEEE Conf. Decis. Contr., Orlando, USA, 2001.
  • [10] H. Ohsaki, M. Murata, T. Ushio, and H. Miyahara, “A control theoretical approach to a window-based flow control mechanism with explicit congestion notification”, in Proc. 38th IEEE Conf. Decis. Contr., Phoenix, USA, 1999.
  • [11] H. Ohsaki, M. Morita, and M. Murata, “On modeling roundtrip time dynamics of the Internet using system identification”, in Proc. 16th International Conference on Information Networking ICOIN-16, Lecture Notes in Computer Science. Springer, 2002, vol. 2343, pp. 359–371.
  • [12] L. B. White and B. A. Chiera, “LQG congestion control for TCP”, in IEEE Worksh. Internet, Telecommun. Sig. Proces., Adelaide, Australia, 2004, pp. 70–75.
  • [13] B. A. Chiera and L. B. White, “A subspace predictive controller for end-to-end tcp congestion control”, in Proc. 6th Austr. Commun. Theory Worksh., Brisbane, Australia, 2005, pp. 39–45.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BAT3-0035-0028
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