Performance comparison of BQM and normal queue management techniques

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.Biased Queue Management (BQM) is a queue management method proposed in [1], and consists of an accurate packet loss discriminator and an implicit continuous congestion level measure. In this paper, we will compare BQM with two popular queue management methods, Random Early Detection (RED)[2] and Droptail, in different aspects, such as throughput, packet loss rate and fairness.The comparison results indicate BQM has better throughput than RED, and higher fairness and lower packet loss rate than Droptail. BQM is a highly efficient queue management technique in congested TCP network environment. Experiments are performed by Network Simulator(NS) from Lawrence Berkeley Labs.