Name
Abstract | ||
|---|---|---|
In 2016, Google proposed and deployed a new TCP variant called BBR. BBR represents a major departure from traditional congestion-window-based congestion control. Instead of using loss as a congestion signal, BBR uses estimates of the bandwidth and round-trip delays to regulate its sending rate. The last major study on the distribution of TCP variants on the Internet was done in 2011, so it is timely to conduct a new census given the recent developments around BBR. To this end, we designed and implemented Gordon, a tool that allows us to measure the exact congestion window (cwnd) corresponding to each successive RTT in the TCP connection response of a congestion control algorithm. To compare a measured flow to the known variants, we created a localized bottleneck where we can introduce a variety of network changes like loss events, bandwidth change, and increased delay, and normalize all measurements by RTT. An offline classifier is used to identify the TCP variant based on the cwnd trace over time. Our results suggest that CUBIC is currently the dominant TCP variant on the Internet, and it is deployed on about 36% of the websites in the Alexa Top 20,000 list. While BBR and its variant BBR G1.1 are currently in second place with a 22% share by website count, their present share of total Internet traffic volume is estimated to be larger than 40%. We also found that Akamai has deployed a unique loss-agnostic rate-based TCP variant on some 6% of the Alexa Top 20,000 websites and there are likely other undocumented variants. The traditional assumption that TCP variants "in the wild" will come from a small known set is not likely to be true anymore. We predict that some variant of BBR seems poised to replace CUBIC as the next dominant TCP variant on the Internet.
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Year | DOI | Venue |
|---|---|---|
2019 | 10.1145/3366693 | Proceedings of the ACM on Measurement and Analysis of Computing Systems |
Keywords | Field | DocType |
congestion control, measurement study | Computer science,Computer network,Census,TCP congestion-avoidance algorithm,The Internet | Journal |
Volume | Issue | Citations |
3 | 3 | 1 |
PageRank | References | Authors |
0.37 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ayush Mishra | 1 | 2 | 0.73 |
| Xiangpeng Sun | 2 | 2 | 0.73 |
| Atishya Jain | 3 | 1 | 0.37 |
| Sameer Pande | 4 | 1 | 0.37 |
| Raj Joshi | 5 | 5 | 2.84 |
| Ben Leong | 6 | 343 | 27.92 |