A comparison of active queue management algorithms using the OPNET Modeler

Authors:
Chengyu Zhu;O. W.W. Yang;J. Aweya;M. Ouellette;D. Y. Montuno
Affiliations:
Sch. of Inf. Technol. & Eng., Ottawa Univ., Ont.;-;-;-;-
Venue:
IEEE Communications Magazine
Year:
2002

Citing 0
Cited 10

DRED-MP: queue management with multiple levels of drop precedence

International Journal of Network Management
On achieving fairness in the joint allocation of buffer and bandwidth resources: principles and algorithms

Computer Networks: The International Journal of Computer and Telecommunications Networking
A simple mechanism for stabilizing network queues in TCP/IP networks

International Journal of Network Management
On the impact of active queue management on VoIP quality of service

Computer Communications
Design of AQM controllers for IP routers based on H∞ optimal control

International Journal of Internet Protocol Technology
Adaptive neural queue management for TCP networks

Computers and Electrical Engineering
Optimization of Mobile IPv6 Handover Performance Using E-HCF Method

ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
An extended GIX/M/1/N queueing model for evaluating the performance of AQM algorithms with aggregate traffic

ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
TCP performance over cluster-label-based routing protocol for mobile ad hoc networks

NEW2AN'07 Proceedings of the 7th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking
The COMPLEX reference framework for HW/SW co-design and power management supporting platform-based design-space exploration

Microprocessors & Microsystems

Quantified Score

Hi-index	0.25

Visualization

Abstract

A number of active queue management algorithms for TCP/IP networks such as random early detection (RED), stabilized RED (SRED), BLUE, and dynamic RED (DRED) have been proposed in the past few years. This article presents a comparative study of these algorithms using simulations. The evaluation is done using the OPNET Modeler, which provides a convenient and easy-to-use platform for simulating large-scale networks. The performance metrics used in the study are queue size, packet drop probability, and packet loss rate. The study shows that, among the four algorithms, SIZED and DRED are more effective at stabilizing the queue size and controlling the packet loss rate while maintaining high link utilization. The benefits of stabilized queues in a network are high resource utilization, bounded delays, more certain buffer provisioning, and,traffic-load-independent network performance in terms of traffic intensity and number of TCP connections