CFP last date
20 January 2025
Reseach Article

Improving Convergence of Congestion Control Algorithm

by Abhineet Anand, Abhijeet, D P Das
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 81 - Number 2
Year of Publication: 2013
Authors: Abhineet Anand, Abhijeet, D P Das
10.5120/13981-1977

Abhineet Anand, Abhijeet, D P Das . Improving Convergence of Congestion Control Algorithm. International Journal of Computer Applications. 81, 2 ( November 2013), 1-4. DOI=10.5120/13981-1977

@article{ 10.5120/13981-1977,
author = { Abhineet Anand, Abhijeet, D P Das },
title = { Improving Convergence of Congestion Control Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { November 2013 },
volume = { 81 },
number = { 2 },
month = { November },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-4 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume81/number2/13981-1977/ },
doi = { 10.5120/13981-1977 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:55:00.396022+05:30
%A Abhineet Anand
%A Abhijeet
%A D P Das
%T Improving Convergence of Congestion Control Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 81
%N 2
%P 1-4
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

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

References
  1. M. Allman and W. Stevens. TCP congestion control. RFC 2581.
  2. S. Deb and R. Srikant. Global stability of congestion controllers for the internet. In 2002 IEEE Conference on Decision and Control, 2002.
  3. W. Feng, K. Shin, D. Kandlur, and D. Saha. The blue active queue management algorithms. IEEE/ACM Transactions on Networking, 10(4):513-528, 2002.
  4. S. Floyd. High-speed TCP for Large Congestion Windows. RFC 3649.
  5. S. Floyd and V. Jacobson. Random early detection gateways for congestion avoidance. IEEE Transactions on Networking, 1(4):397-413, 1993.
  6. Y Gao and J. Hou. A state feedback control approach to stabilizing queues for ecn-enabled tcp connecitons. In INFOCOM' 03, 2003.
  7. C. V. Hollot, V. Misra, D. F. Towsley, and W. Gong. A control theoretic analysis of RED. In INFOCOM'01, pages 1510- 1519, 2001.
  8. S. Hu. Principle of automatic control(In Chinese). 4th edition. Science Publisher, 2001.
  9. X. Huang, C. Lin, and F. Ren. A novel high speed transport protocol based on explicit virtual load feedback. Computer Networks, 51(7):1800-1814, 2007.
  10. V. Jacobson. Congestion Avoidance and Control. Computer Communication Review, 18(4):314-329, August 1988.
  11. D. Katabi, M. Handley, and C. Rohrs. Congestion Control for High Bandwidth Delay Product Networks. In ACM SIGCOMM' 02, August 2002.
  12. T. Kelly. Scalable TCP: Improving Performance in HighspeedWide Area Networks. In the 1stWorkshop on Protocols for Fast Long Distance Networks, 2003.
  13. S. Kunniyur and R. Srikant. An adaptive virtual queue (avq) algorithm for active queue management. IEEE/ACM Transactions on Networking, 12(2):286-299, 2004.
  14. B. C. Kuo and F. Golnaraghi. Automatic control systems. 8th edition. Wiley, New York, 2003.
  15. D. Loguinov and H. Radha. End-to-End Rate-Based Congestion Control: Convergence Properties and Salability Analysis. IEEE/ACM Transactions on Networking, 11(5):564C577, August 2003.
  16. A. J. Lotka. Elements of physical biology. Baltimore: Williams and Wilkins Co. , 1925.
  17. L. Massoulie. Stability of distributed congestion control with heterogeneous feedback delays. Microsoft Research Technical Report. http://citeseer. ist. psu. edu/massoulieOOstability. html.
  18. V. Misra, W. -B. Gong, and D. F. Towsley. Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED. In ACM SIGCOMM'00, pages 151- 160, 2000.
  19. P. F. Verhulst. Recherches math matiques sur la loi d'accroissement de la population. Nouveaux meacute de l'Academie Royale des Sci. et Belles-Lettres de Bruxelles, 1845.
  20. G. Vinnicombe. On the stability of end-to-end congestion control for the internet. http://www-control. eng. cam. ac. uk/gv/internet/TR398. pdfI
  21. M. Welzl. Scalable Performance Signalling and Congestion Avoidance. Kluwer Academic Publishers, 2003.
  22. Wydrowski, L. L. Andrew, and M. Zukerman. MaxNet: A Congestion Control Architecture for Scalable Networks. IEEE Communications Letters, 7(10):511-513, 2003.
  23. Y Xia, L. Subramanian, I. Stoica, and S. Kalyanaraman. One More Bit Is Enough. In ACM SIGCOMM'05, 2005.
  24. Y Zhang, S. Kang, and D. Loguinov. Delayed Stability and Performance of Distributed Congestion Control. In ACM SIGCOMM'04, 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Computer Network Wavelength Congestion Control