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Reseach Article

Simulation Analysis of Active Queue Management for Internet Congestion Control

Published on March 2013 by Sukant Kishoro Bisoy, Sunil Kumar Mohapatra, Prasant Kumar Pattnaik, Pratima Panigrahi
International Conference on Computing, Communication and Sensor Network
Foundation of Computer Science USA
CCSN2012 - Number 1
March 2013
Authors: Sukant Kishoro Bisoy, Sunil Kumar Mohapatra, Prasant Kumar Pattnaik, Pratima Panigrahi
0dbbf8cf-a5a1-4ff1-b166-977f7af5bd2a

Sukant Kishoro Bisoy, Sunil Kumar Mohapatra, Prasant Kumar Pattnaik, Pratima Panigrahi . Simulation Analysis of Active Queue Management for Internet Congestion Control. International Conference on Computing, Communication and Sensor Network. CCSN2012, 1 (March 2013), 27-31.

@article{
author = { Sukant Kishoro Bisoy, Sunil Kumar Mohapatra, Prasant Kumar Pattnaik, Pratima Panigrahi },
title = { Simulation Analysis of Active Queue Management for Internet Congestion Control },
journal = { International Conference on Computing, Communication and Sensor Network },
issue_date = { March 2013 },
volume = { CCSN2012 },
number = { 1 },
month = { March },
year = { 2013 },
issn = 0975-8887,
pages = { 27-31 },
numpages = 5,
url = { /specialissues/ccsn2012/number1/10849-1011/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Computing, Communication and Sensor Network
%A Sukant Kishoro Bisoy
%A Sunil Kumar Mohapatra
%A Prasant Kumar Pattnaik
%A Pratima Panigrahi
%T Simulation Analysis of Active Queue Management for Internet Congestion Control
%J International Conference on Computing, Communication and Sensor Network
%@ 0975-8887
%V CCSN2012
%N 1
%P 27-31
%D 2013
%I International Journal of Computer Applications
Abstract

In order to prevent congestion, the current internet uses end-to-end congestion control protocol like TCP. In congestion control issues, queue management employed by router has been utmost important. Active queue management (AQM) has been proposed as a router-based mechanism for early detection of congestion inside the network. AQM scheme helps for end-to-end congestion control by having routers detecting congestion and notify end-systems, so that the sender adjust transmission rate earlier and avoid unwanted packet drops. Aim of the paper was to analyze the performance of various active queue management (AQM) techniques like Random Exponential Marking (REM), Gentle RED (GRED) and Nonlinear RED (NLRED) with DropTail (DT). We study different characteristics of various versions of RED using NS2 simulator and outcome indicates that performance of NLRED is better than others in terms of goodput, packet loss rate, delay, link utilization, fairness index, average queue length.

References
  1. V. Jacobson, Congestion avoidance and control, Computer Communication Review 18 (4) (1988) 314–329.
  2. L. Zhang, S. Shenker, D. D. Clark, Observations on the dynamics of a congestion control algorithm: the effects of two-way traffic, in: Proceeding of ACM SIGCOMM '91, the Conference on Communications Architecture and Protocols, Zurich, Switzerland, September 03–06, 1991, pp. 133–147.
  3. B. Braden, D. Clark, J. Crowcroft, et al. , Recommendations on queue management and congestion avoidance in the Internet, in: RFC2309, April 1998.
  4. Kaiyu Zhou, Kwan L. Yeung, Victor O. K. Li, "Nonlinear RED: A simple yet efficient active queue management scheme", Elsevier Journal of Computer Networks, 50, (2006), pp. 3784-3794.
  5. S. Athuraliya, S. H. Low, V. H. Li, et al. , REM: active queue management, IEEE Network 15 (2001) 48–53.
  6. S. Floyd, V. Jacobson, "Random early detection gateways for congestion avoidance", IEEE/ACM Transactions on Networking1, (1993), pp. 397-413.
  7. D. Que, Z. Chen, B. Chen, "An improvement algorithm based on RED and its performance analysis", 9th Int. Conf. on Signal Processing, Oct. 2008, pp. 2006- 2008.
  8. S. Kunniyur, R. Srikant, Analysis and design of an adaptive virtual queue (AVQ) algorithm for active queue management, ACM SIGCOMM Computer Communication Review 31 (2001) pp. 123–134.
  9. L. Zhu, N. Ansari, Local stability of a new adaptive queue management (AQM) scheme, IEEE Communications Letters 8 (2004) pp. 406–408.
  10. Abbasov, B, "Using linear interpolation method for packet drop probability function of RED algorithm", 5th International Conference on Application of Information and communication Technologies, Oct. 2011, pp 1-4.
  11. NS-2, The ns Manual (formally known as NS Documentation) available at http: //www. isi. edu/nsnam/ns/doc.
Index Terms

Computer Science
Information Sciences

Keywords

Aqm Red Rem Gred Nlred Droptail Fairness Index Goodput