更低的延迟,更好的公平性:数据中心的物流增长拥塞控制

P. Teymoori, D. Hayes, M. Welzl, S. Gjessing
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引用次数: 9

摘要

数据中心传输最近吸引了很多人的兴趣,然而,大多数提出的改进都需要改变数据中心结构,这阻碍了它们在商用硬件上的适用性和可部署性。在本文中,我们提出了一种新的拥塞控制器,物流增长控制(LGC),它不需要改变数据中心的结构。LGC使用与DCTCP类似的ECN标记,但使用逻辑增长函数来适应拥塞。该函数已被证明具有良好的特性,包括稳定性、收敛性、公平性和可扩展性,这对拥塞控制非常有吸引力。因此,我们的LGC机制在数据中心网络中以更稳定和公平的方式运行,从而减少了排队和延迟。LGC的性能也比DCTCP好,它收敛到瓶颈链路容量的公平份额,而不考虑往返时间(RTT)。我们用一个流体模型讨论了LGC的稳定性和公平性,并通过仿真展示了它的性能改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Even Lower Latency, Even Better Fairness: Logistic Growth Congestion Control in Datacenters
Datacenter transport has attracted much recent interest, however, most proposed improvements require changing the datacenter fabric, which hinders their applicability and deployability over commodity hardware. In this paper, we present a novel congestion controller, Logistic Growth Control (LGC), for datacenters which does not require changes to the datacenter fabric. LGC uses a similar ECN marking as in DCTCP, but adapts to congestion using the logistic growth function. This function has been proven to have nice characteristics including stability, convergence, fairness, and scalability, which are very appealing for congestion control. As a result, our LGC mechanism operates in the datacenter network in a more stable and fair manner, leading to less queuing and latency. LGC also behaves better than DCTCP, and it converges to the fair share of the bottleneck link capacity irrespective of the Round-Trip-Time (RTT). We discuss the stability and fairness of LGC using a fluid model, and show its performance improvement with simulations.
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