Analytic evaluation of RED performance

By Thomas Bonald, M. May, Jean-Chrysostome Bolot. Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064), 2000

485 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/bec884b71a4c23f84af2ec37e338b4f1f28d03ef

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Citations in the corpus

Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED (2000, background): “However, numerous problems have been cited with RED [10].”
Analysis and design of controllers for AQM routers supporting TCP flows (2002, background): “A drawback in deploying RED stems from its apparent tuning difficulties, see [4] and [5].”
A control theoretic analysis of RED (2001, background): “Tuning of RED parameters has been an inexact science for sometime now, so much so that some researchers have advocated against using RED because of this tuning difficulty [2], [3].”
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities (2018, background): “However, the combination of Drop-Tail with the TCP congestion avoidance mechanism leads to TCP synchronization that may cause serious problems [68, 72]: (i) inefficient link utilization and excessive packet loss due to a simultaneous decrease in TCP rate, (ii) unacceptable queuing delay due to a con”