Improving Convergence of Congestion Control Algorithm

To transmit the transport control system from the initial state to the steady state many convergence of congestion control algorithm has been proposed and studied. Efficiency and fairness of convergence are two aspects major issue which has been targeted by the researcher. The available bandwidth of the link is grabbed by the newly-starting flow, when it joins the network. The various algorithm has been discussed to improve the convergence efficiently. To achieve the convergence up to level of fairness the network where the existing flow have taken the whole bandwidth, it is assured that this new flow should achieve fair bandwidth allocation as soon as possib

[1]  Dmitri Loguinov,et al.  Delayed stability and performance of distributed congestion control , 2004, SIGCOMM '04.

[2]  Sally Floyd,et al.  HighSpeed TCP for Large Congestion Windows , 2003, RFC.

[3]  Hayder Radha,et al.  End-to-end rate-based congestion control: convergence properties and scalability analysis , 2003, TNET.

[4]  Kang G. Shin,et al.  The BLUE active queue management algorithms , 2002, TNET.

[5]  R. Srikant,et al.  Global stability of congestion controllers for the Internet , 2003, IEEE Trans. Autom. Control..

[6]  Jennifer C. Hou,et al.  A state feedback control approach to stabilizing queues for ECN-enabled TCP connections , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[7]  Vern Paxson,et al.  TCP Congestion Control , 1999, RFC.

[8]  A. J. Lotka,et al.  Elements of Physical Biology. , 1925, Nature.

[9]  P. Verhulst.  Recherches mathématiques sur la loi d’accroissement de la population , 1845, Nouveaux mémoires de l'Académie royale des sciences et belles-lettres de Bruxelles.

[10]  Tom Kelly,et al.  Scalable TCP: improving performance in highspeed wide area networks , 2003, CCRV.

[11]  Vishal Misra,et al.  Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED , 2000, SIGCOMM.

[12]  Glenn Vinnicombe,et al.  On the stability of end-to-end congestion control for the internet , 2001 .

[13]  Donald F. Towsley,et al.  A control theoretic analysis of RED , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[14]  Mark Handley,et al.  Congestion control for high bandwidth-delay product networks , 2002, SIGCOMM '02.

[15]  Van Jacobson,et al.  Congestion avoidance and control , 1988, SIGCOMM '88.

[16]  Lakshminarayanan Subramanian,et al.  One more bit is enough , 2005, SIGCOMM '05.

[17]  Laurent Massoulié,et al.  Stability of distributed congestion control with heterogeneous feedback delays , 2002, IEEE Trans. Autom. Control..

[18]  QUTdN QeO,et al.  Random early detection gateways for congestion avoidance , 1993, TNET.

[19]  Michael Welzl.  Scalable Performance Signalling and Congestion Avoidance , 2003, Springer US.

[20]  Lachlan L. H. Andrew,et al.  MaxNet: a congestion control architecture for scalable networks , 2003, IEEE Communications Letters.

[21]  B. C. Kuo,et al.  Automatic Control Systems, 7th edition , 1997 .

[22]  R. Srikant,et al.  An adaptive virtual queue (AVQ) algorithm for active queue management , 2004, IEEE/ACM Transactions on Networking.

[23]  Chuang Lin,et al.  A novel high speed transport protocol based on explicit virtual load feedback , 2007, Comput. Networks.

[24]  A. TUSTIN,et al.  Automatic Control Systems , 1950, Nature.

[25]  A. J. Lotka.  Elements of Physical Biology. , 1925, Nature.