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Remote Participation
Exploring the BBRv2 Congestion Control Algorithm for Use on Data Transfer Nodes
Event Type
Big Data
Cloud and Distributed Computing
Data Analytics
Data Management
Quantum Computing
Registration Categories
TimeMonday, 15 November 202111:30am - 12pm CST
DescriptionIt is well known that loss-based TCP congestion control algorithms are problematic for high-speed high-latency flows that are common in Big Science. In 2016 Google released a new congestion control algorithm called ’BBR’ (Bottleneck Bandwidth and Round-trip time) that uses a model-based approach, and the design has since been refined in an alpha release of BBRv2. In this presentation, we describe and perform a set of experiments that assess the suitability of BBRv2 for use on Data Transfer Nodes (DTNs). The experiments were run on both production R&E networks as well as within a controlled testbed environment. Our analysis of the results show that BBRv2 improves upon BBRv1 for common Big Science transfer scenarios and is a promising option in high-speed short-queue networking environments.
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