BBRv2带宽探测中的协议内收敛问题

Yeong-Jun Song, Won-Ju Eom, Jeong-Keun Kim, Chang-hoon Park, Geon-Hwan Kim, You-Ze Cho
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引用次数: 2

摘要

谷歌引入了瓶颈带宽往返传播时间(BBR),这是一种新的拥塞控制算法。BBR测量可用的瓶颈带宽和最小往返时间。然后,它创建网络路径模型来最大化传输速率并最小化延迟。但是,BBR会造成与其他TCP流的不公平问题,并且会在一个小缓冲区中造成大量的丢包。因此,谷歌更新了BBR,创建了一个名为BBRv2的新版本,以改善与其他流的共存并减少攻击性。与现有的BBR相比,BBRv2显著提高了基于损失的拥塞控制算法的公平性,并减少了在小缓冲区内的数据包重传次数。然而,在本研究中,我们证实了在不同时间进入同一链路的多个BBRv2流对带宽的占用并不公平。因此,我们通过Mininet仿真来评估相同的BBRv2流之间的公平性,并分析产生该问题的原因。测试结果表明,当瓶颈缓冲区大小小于0.2 BDP时,两个BBRv2流的吞吐量与BBRv1相似,报文重传次数也大大减少。但是,对于较大的缓冲区,首先开始的流占用更多的带宽。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intra-protocol Convergence Problem in BBRv2’s Bandwidth Probing
Google introduced Bottleneck Bandwidth Round-trip propagation time (BBR), which is a new concept of congestion control algorithm. BBR measures the available bottleneck bandwidth and minimum round-trip time. It then creates network path models to maximize the delivery rate and minimize latency. However, BBR creates unfairness problem with other TCP flows and excessive packet loss in a small buffer. Google, therefore, updated BBR, creating a new version, called BBRv2, to improve coexistence with other flows and reduce aggressiveness. BBRv2 significantly improved the fairness with loss-based congestion control algorithms and reduced the number of packet retransmissions in a small buffer compared to the existing BBR. However, in this study, we confirmed that multiple BBRv2 flows that enter the same link at different times do not take up bandwidth fairly. Therefore, we evaluate the fairness between identical BBRv2 flows through the Mininet emulation and analyze the reason for this problem. The test results show that when the bottleneck buffer size is smaller than 0.2 BDP, two BBRv2 flows have similar throughput and the number of packet retransmissions greatly reduces compared to BBRv1. However, with a large buffer, the flow starting first occupies more bandwidth.
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