Improving RED by a neuron controller
Jinsheng Sun, Moshe Zukerman, L Mason (ed.), T Drwiega (ed.), J Yan (ed.)
MANAGING TRAFFIC PERFORMANCE IN CONVERGED NETWORKS | SPRINGER-VERLAG BERLIN | Published : 2007
In this paper, we propose a novel active queue management (AQM) algorithm called Neuron Control RED (NC-RED) that overcomes the drawbacks of the original RED. NC-RED uses a neuron controller to adaptively adjust the maximum drop probability to stabilize the average queue length around the target queue length. We demonstrate by simulations that NC-RED maintains stable operation independent of traffic loading, round trip propagation delay, and bottleneck capacity. We also demonstrate that NC-RED is robust to non-responsive UDP traffic and HTTP traffic, and it is effective for networks with multiple bottlenecks. Comparison with other well-known AQM algorithms like PI, REM and ARED demonstrates ..View full abstract
Awarded by Australian Research Council
Awarded by Natural Science Foundation of Jiangsu Province, China
This work was jointly supported by grants from the Australian Research Council (Grant DP0559131), and the Natural Science Foundation of Jiangsu Province, China (No. BK2004132).