Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
TCP Vegas: new techniques for congestion detection and avoidance
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
TCP and explicit congestion notification
ACM SIGCOMM Computer Communication Review
Improving TCP/IP performance over wireless networks
MobiCom '95 Proceedings of the 1st annual international conference on Mobile computing and networking
Improving Performance of TCP over Wireless Networks
ICDCS '97 Proceedings of the 17th International Conference on Distributed Computing Systems (ICDCS '97)
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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.