论文标题
在Dropbox Edge网络上评估BBRV2
Evaluating BBRv2 on the Dropbox Edge Network
论文作者
论文摘要
如今，基于损失的TCP拥塞控制总体而言，Cubic专门成为互联网的事实上的标准。 BBR拥塞控制通过基于估计的带宽和往返时间对网络进行建模来挑战基于损失的方法。在Dropbox，我们自2017年以来一直在使用BBRV1，并习惯了其优点和缺点。 BBRV2引入了网络建模（明确的损失目标和转机限制）和公平性（新流量的差分探测和净空）的一组改进。在本文中，我们介绍了在Dropbox Edge网络上收集的实验数据。我们将BBRV2与BBRV1和立方体进行了比较，表明BBRV2与两者都是明确的改进。我们还表明，BBRV2实验结果与其理论设计原理相匹配。
Nowadays, loss-based TCP congestion controls in general and CUBIC specifically became the de facto standard for the Internet. BBR congestion control challenges the loss-based approach by modeling the network based on estimated bandwidth and round-trip time. At Dropbox, we've been using BBRv1 since 2017 and are accustomed to its pros and cons. BBRv2 introduces a set of improvements to network modeling (explicit loss targets and inflight limits) and fairness (differential probing and headroom for new flows.) In this paper, we go over experimental data gathered on the Dropbox Edge Network. We compare BBRv2 to BBRv1 and CUBIC showing that BBRv2 is a definite improvement over both of them. We also show that BBRv2 experimental results match its theoretical design principles.
