This paper presents a speed based active queue management scheme. This scheme predicts the incoming and outgoing speed of every active flow in the next sample intervals according to the history data. And then with the queue length of every flow at the end of last a few intervals, predicted incoming and outgoing rate and expected queue length, drop probability in this interval is calculated. The goal of this scheme is to achieve both stabilized queue length and per-flow fairness. Through ns-2 simulation, we compare SBAQM against FRED and SRED and obtain satisfying results.
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