AIST: Insights into queuing and loss on highly multiplexed links

Maxim Podlesny, Sergey Gorinsky, Balaji Rengarajan
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Abstract

In explicit or delay-driven congestion control, a common objective is to sustain high throughput without long queues and large losses at the bottleneck link of the network path. Congestion control protocols strive to achieve this goal by transmitting smoothly in the steady state. The discovery of the appropriate steady-state transmission rates is a challenging task in itself and typically introduces additional queuing and losses. Seeking insights into the steady-state profiles of queuing and loss achievable by real protocols, this paper presents an AIST (Asynchronous arrivals with Ideally Smooth Transmission) model that abstracts away transient queuing and losses related to discovering the path capacity and redistributing it fairly among the packet flows on the bottleneck link. In AIST, the flows arrive asynchronously but transmit their packets at the same constant rate in the steady state. For the link with an overprovisioned buffer, our queuing-theoretic analysis and simulations for different smooth distributions of packet interarrival times agree that queuing under AIST with the target utilization of 1 is on the order of the square root of N, where N is the number of flows. With small buffers, our simulations of AIST show an ability to provide bounded loss rates regardless of the number of flows.
AIST:对高复用链路上的排队和损失的见解
在显式或延迟驱动的拥塞控制中,一个共同的目标是在网络路径的瓶颈链路上保持高吞吐量,而不需要长队列和大损失。拥塞控制协议通过在稳定状态下平滑传输来实现这一目标。发现适当的稳态传输速率本身就是一项具有挑战性的任务,并且通常会引入额外的排队和损失。为了深入了解真实协议可实现的排队和损失的稳态概况,本文提出了一个AIST(理想平滑传输的异步到达)模型,该模型抽象了与发现路径容量相关的瞬态排队和损失,并在瓶颈链路上的分组流中公平地重新分配它。在AIST中,流异步到达,但在稳定状态下以相同的恒定速率传输它们的数据包。对于缓冲区过剩的链路,我们的排队理论分析和对不同数据包到达时间平滑分布的模拟表明,在目标利用率为1的AIST条件下,排队的量级为N的平方根,其中N为流的数量。在小缓冲区的情况下,我们对AIST的模拟显示,无论流量多少,都能提供有限的损失率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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