Analyzing the Performance of Active Queue Management Algorithms

TL;DR

This paper evaluates various active queue management algorithms like FRED, BLUE, SFB, and CHOKe, comparing their effectiveness in congestion control, resource utilization, and deployment complexity through simulation.

Contribution

It provides a comparative analysis of multiple AQM algorithms, highlighting their strengths and weaknesses in congestion management within TCP networks.

Findings

FRED maintains high resource utilization.

CHOKe effectively restricts bandwidth abuse.

BLUE offers low deployment complexity.

Abstract

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 paper we analyzed several active queue management algorithms with respect to their abilities of maintaining high resource utilization, identifying and restricting disproportionate bandwidth usage, and their deployment complexity. We compare the performance of FRED, BLUE, SFB, and CHOKe based on simulation results, using RED and Drop Tail as the evaluation baseline. The characteristics of different algorithms are also discussed and compared. Simulation is done by using Network Simulator(NS2) and the graphs are drawn using X- graph.