一种新的基于速率的主动队列管理:自适应虚拟队列RED

Dojun Byun, J. Baras
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引用次数: 7

摘要

为了提高拥塞网关的性能,提出了一种新的主动队列管理(AQM)算法——自适应虚拟队列随机早期检测(AVQRED)算法,该算法将虚拟队列大小输入到RED算法中。新算法的目标是通过保持高的链路利用率、稳定的链路利用率、低的队列延迟和低的连续丢包率来提高整体性能。本文通过将AVQRED与其他六种已知的AQM方法在现实仿真环境中进行比较,证明了这一目标的实现。为了提供公平的比较,通过仿真探索许多不同的参数设置,对AQM参数进行了微调。仿真结果表明,AVQRED将整体性能提高了8% ~ 25%。为了提供直观的性能和验证仿真结果,提出了一个数学模型并将其输入到MATLAB中,并将MATLAB结果与仿真结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Rate-based Active Queue Management: Adaptive Virtual Queue RED
In an effort to improve performance of congested gateways, a new Active Queue Management (AQM) algorithm, Adaptive Virtual Queue Random Early Detection (AVQRED), was developed by feeding virtual queue size to the RED algorithm. The objective of the new algorithm is to improve overall performance by keeping link utilization high, link utilization stable, queueing delay low and consecutive packet drop rate low. This paper shows the objective is met by comparing AVQRED with six other well known AQM methods in a realistic emulation environment. To provide fair comparisons, the AQM parameters are fine-tuned by exploring many different parameter settings via emulations. The emulation results conclude that AVQRED improves overall performance by 8 to 25%. To provide intuitive properties and validate the emulation results, a mathematical model is proposed and fed to MATLAB, and the results from MATLAB and emulations are compared.
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