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Sixth IEEE Symposium on Computers and Communications (ISCC'01)
Comparison of Tail Drop and Active Queue Management Performance for Bulk-Data and Web-Like Internet Traffic
Hammamet, Tunisia
July 03-July 05
ISBN: 0-7695-1177-5
Christof Brandauer, Salzburg Research
Gianluca Iannaccone, Sprint ATL
Christophe Diot, Sprint ATL
Serge Fdida, Universite Pierre et Marie Curie
Martin May, INRIA
Abstract: 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". 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; (iii) gentle RED is capable of resolving some of the headaches on RED but not all.
Index Terms:
TCP, RED, performance evaluation.
Citation:
Christof Brandauer, Gianluca Iannaccone, Christophe Diot, Thomas Ziegler, Serge Fdida, Martin May, "Comparison of Tail Drop and Active Queue Management Performance for Bulk-Data and Web-Like Internet Traffic," iscc, pp.0122, Sixth IEEE Symposium on Computers and Communications (ISCC'01), 2001
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