基于速度的主动队列管理方案

Jian-guo Zhou, Xiao Chen, P. Yan, Jing Wu, Gui-wen Yang
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引用次数: 1

摘要

提出了一种基于速度的主动队列管理方案。该方案根据历史数据预测下一个采样区间内每个活动流的进出速度。然后根据最后几个区间末每个流的队列长度,预测进出流量和期望队列长度,计算该区间内的掉队概率。该方案的目标是实现稳定的队列长度和每个流的公平性。通过ns-2仿真,我们将SBAQM与FRED和SRED进行了比较,得到了满意的结果。
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A speed based active queue management scheme
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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