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Cycle and Divergence of Performance on TCP BBR

Authors: Kouto Miyazawa; Kanon Sasaki; Naoki Oda; Saneyasu Yamaguchi;

Cycle and Divergence of Performance on TCP BBR

Abstract

A new high-performance TCP congestion control algorithm, called TCP BBR, was proposed in 2016. It achieves excellent performance especially on a network with high latency and high packet loss ratio. The interaction between TCP BBR and other TCP algorithms has not been discussed enough. In this paper, we focus on TCP BBR and CUBIC TCP, which is the most widely used algorithm in Linux operating system, and investigate the performance behaviors of TCP BBR and CUBIC TCP in a situation wherein these two TCP congestion control algorithms work concurrently. We then introduce three novel findings, which are extreme inter-protocol performance imbalance, intra-protocol performance balance, and cyclic performance switch. The first one means that the connections of a TCP algorithm consume almost all the bandwidth. The second one indicates that the performances of all the connections of a TCP algorithm increase and decrease as a group. The third one means that the extremely imbalanced performance switches periodically. We introduce a method for monitoring the parameters of TCP BBR and discuss the reason of and methods for relieving these features based on the monitored parameters. We postulate that difficulty of proving the bottleneck bandwidth and positive feedback mechanism on TCP BBR are important reasons. We assume that decreasing the buffer size of the bottleneck link can relieve these features.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%
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