一种基于改进Smith Predictor的主动队列管理(AQM)方案

Xunhe Yin, Qingquan Cui, Xianglong Meng, Yongkang Xiao, Y. Song
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摘要

路由器的主动队列管理(Active queue management, AQM)可以有效地控制队列长度,同时保持路由器的高吞吐量。本文提出了一种新的AQM算法,即基于改进Smith预测器的Hang算法。理论分析和大量仿真结果表明,所提出的控制方案能够有效地处理传输时延和其他不确定性。通过NS2仿真与传统PI控制和PI- smith预测器控制进行了比较,结果证实了所提方法在考虑负载扰动和延迟变化方面的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An active queue management (AQM) scheme based on modified Smith Predictor
Active queue management (AQM) at routers can effectively control the queue length while keeping high throughput of routers. In this paper, a new AQM algorithm called Hang algorithm based on a modified Smith predictor is proposed. Theoretic analysis and extensive simulation shows that the developed control scheme is effective in dealing with transmission delay and other uncertainties. Comparison with traditional PI control and PI-Smith Predictor control is also conducted via NS2 simulation, and the results confirm the effectiveness of the proposed method in accounting for load disturbance and delay variation.
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