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Fair Bandwidth Allocation for Responsive and Unresponsive Flows Using Approximate Fairness Dropping Scheme

机译:使用近似公平性丢弃方案为响应性和非响应性流分配公平的带宽

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摘要

In this paper, based on Equivalent Active Flow, we propose a novel technique called Approximate Fairness Dropping, which is able to approximate fairness by containing misbehaving flows' access queue opportunity with low time/space complexity. Unlike most of the existing Active Queue Management schemes (e.g., RED, BLUE, CHOKE), Approximate Fairness Dropping does not drop the packets whose arriving rate is within the maximum admitted rate, so it protects the well-behaving flows against misbehaving ones, moreover, improves the throughput and decreases the queuing delay. Our simulations and analyses demonstrate that this new technique outperforms the existing schemes and closely approximates the "ideal" case, where full state information is needed.
机译:在本文中,基于等效活动流,我们提出了一种称为“近似公平性下降”的新技术,该技术能够通过包含行为/时间复杂度低的流访问队列机会来近似公平性。与大多数现有的活动队列管理方案(例如RED,BLUE,CHOKE)不同,近似公平丢弃不会丢弃到达速率在最大允许速率之内的数据包,因此,它可以保护行为良好的流免受行为不良的流的影响。 ,提高了吞吐量并减少了排队延迟。我们的仿真和分析表明,这项新技术优于现有方案,并且非常接近需要理想状态信息的“理想”情况。

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