BBR: Congestion-Based Congestion Control

By Neal Cardwell, Yuchung Cheng, C. S. Gunn, Soheil Hassas Yeganeh, V. Jacobson. Queue, 2016

903 citations recorded by the source corpus.

How researchers see this paper

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

Copa: Practical Delay-Based Congestion Control for the Internet (2018, methodology): “Implementations: We compare the performance of our user-space implementation of Copa with Linux kernel implementations of TCP Cubic, Vegas, Reno, and BBR [8], and user-space implementations of Remy, PCC [9], PCC-Vivace [10], Sprout [44], and Verus [46].”
Learning in situ: a randomized experiment in video streaming (2019, methodology): “Each daemon is conﬁgured with a different TCP congestion control (for the primary analysis, we used BBR [9]) and ABR scheme.”
Understanding Operational 5G: A First Measurement Study on Its Coverage, Performance and Energy Consumption (2020, methodology): “We traverse the campus region and other areas in our city many times at a walking/bicycling speed ( i.e. , 3 ∼ 10 km/h ) while continuously measuring the BBR throughput over 10ms windows.”
Delay is Not an Option: Low Latency Routing in Space (2018, background): “Delaybased congestion control such as BBR[3] may not perform well over such a network.”
The QUIC Transport Protocol: Design and Internet-Scale Deployment (2017, methodology): “Accurate RTT estimation can also aid delay-sensing congestion controllers such as BBR [10] and PCC [16].”