Publication | Closed Access
Comparison of tail drop and active queue management performance for bulk-data and Web-like Internet traffic
103
Citations
18
References
2002
Year
Unknown Venue
Internet Traffic AnalysisEngineeringTail DropQueueing TheoryOperations ResearchGentle RedData ScienceWeb-like Internet TrafficSystems EngineeringData ManagementTransportation EngineeringRed ParametersComputer EngineeringComputer ScienceData Stream ManagementEdge ComputingNetwork Traffic ControlCloud ComputingNetwork Traffic MeasurementCongestion ControlBig Data
This paper compares the performance of tail drop and three different flavors of the RED (random early detection) queue management mechanism: RED with a standard parameter setting, RED with an optimized parameter setting based on a model of RED with TCP flows, and finally a version of RED with a smoother drop function called "gentle RED ". The performance is evaluated under various load situations for FTP-like and Web-like flows, respectively. We use measurements and simulations to evaluate the performance of the queue management mechanisms and assess their impact on a set of operator oriented performance metrics. We find that in total (i) no performance improvements of RED compared to tail drop can be observed; (ii) fine tuning of RED parameters is not sufficient to cope with undesired RED behavior due to the variability in traffic load; and (iii) gentle RED is capable of resolving some of the headaches on RED but not all.
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