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Comparison of tail drop and active queue management performance for bulk-data and Web-like Internet traffic

机译:比较批量数据和类似Web的Internet流量的尾部丢弃和活动队列管理性能

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This paper compares the performance of tail drop and three different flavors of the RED (random early detection) queue management mechanism: RED with a standard parameter setting, RED with an optimized parameter setting based on a model of RED with TCP flows, and finally a version of RED with a smoother drop function called "gentle RED ". The performance is evaluated under various load situations for FTP-like and Web-like flows, respectively. We use measurements and simulations to evaluate the performance of the queue management mechanisms and assess their impact on a set of operator oriented performance metrics. We find that in total (i) no performance improvements of RED compared to tail drop can be observed; (ii) fine tuning of RED parameters is not sufficient to cope with undesired RED behavior due to the variability in traffic load; and (iii) gentle RED is capable of resolving some of the headaches on RED but not all.
机译:本文比较了尾部丢弃和RED(随机早期检测)队列管理机制的三种不同风格的性能:具有标准参数设置的RED,基于具有TCP流的RED模型的具有优化参数设置的RED,最后是RED的版本,具有更平滑的拖放功能,称为“ gentle RED”。分别在类似FTP和类似Web的流的各种负载情况下评估性能。我们使用测量和模拟来评估队列管理机制的性能,并评估它们对一组面向操作员的性能指标的影响。我们发现,总的来说,(i)RED与尾巴下降相比没有性能改善; (ii)由于交通负载的可变性,对RED参数的微调不足以应付不良的RED行为; (iii)柔和的RED能够解决RED上的某些头痛,但不能解决所有头痛。

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