Journal of Computer Science

Performance Comparison of Active Queue Management Techniques

T. B. Reddy and A. Ahammed

DOI : 10.3844/jcssp.2008.1020.1023

Journal of Computer Science

Volume 4, Issue 12

Pages 1020-1023


Congestion is an important issue which researchers focus on in the Transmission Control Protocol (TCP) network environment. To keep the stability of the whole network, congestion control algorithms have been extensively studied. Queue management method employed by the routers is one of the important issues in the congestion control study. Active Queue Management (AQM) has been proposed as a router-based mechanism for early detection of congestion inside the network. In this study, we are comparing AQM two popular queue management methods, Random Early Detection (RED) and droptail, in different aspects, such as throughput and fairness Index. The comparison results indicate RED performed slightly better with higher throughput and higher fairness Index than droptail. Simulation is done by using Network Simulator (NS2) and the graphs are drawn using X- graph.


© 2008 T. B. Reddy and A. Ahammed. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.