Model-based insights on the performance, fairness, and stability of BBR
Simon Scherrer, Markus Legner, Adrian Perrig, Stefan Schmid
Abstract
Google's BBR is the most prominent result of the recently revived quest for efficient, fair, and flexible congestion-control algorithms (CCAs). While BBR has been investigated by numerous studies, previous work still leaves gaps in the understanding of BBR performance: Experiment-based studies generally only consider network settings that researchers can set up with manageable effort, and model-based studies neglect important issues like convergence.
Topics & Concepts
Computer scienceConvergence (economics)Set (abstract data type)Fairness measureStability (learning theory)Work (physics)NeglectOperations researchMachine learningThroughputEngineeringTelecommunicationsPsychologyEconomicsMechanical engineeringPsychiatryEconomic growthWirelessProgramming languageNetwork Traffic and Congestion ControlPeer-to-Peer Network TechnologiesSoftware-Defined Networks and 5G