BBR

By Neal Cardwell, Yuchung Cheng, C. S. Gunn, Soheil Hassas Yeganeh, Van L. Jacobson. Communications of the ACM, 2017

503 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/25ded9f81378f6b85daf5a70c85bbadfb84ebc3d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Brighten Godfrey
2. Bruno Ribeiro
3. Yossi Gilad
4. Michael Schapira
5. Ramesh Govindan
6. Hui Zhang
7. Deborah Estrin
8. David E. Culler

In Electrical and Electronic Engineering

1. Brighten Godfrey
2. Michael Schapira
3. Ramesh Govindan
4. Hui Zhang

Citations in the corpus

• PCC Vivace: Online-Learning Congestion Control (2018, methodology): “Our experiments indicate that while improving substantially over traditional schemes, both the specific realization of PCC in [11], termed “PCC Allegro” (or simply Allegro) henceforth, and BBR’s implementation [8], fail to achieve optimal low latency and exhibit far-fromideal tradeoffs between conve”
• Oboe: auto-tuning video ABR algorithms to network conditions (2018, background): “Newer congestion control protocols like BBR [19] estimate network throughput, which if exposed, could benefit Oboe.”