Presentation 2002/4/12
A Study on Performance Evaluation of Active Queue Management Mechanisms using Multivariate Analysis
Tomoya EGUCHI, Hiroyuki OHSAKI, Masayuki MURATA,
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Abstract(in English) AQM (Active Queue Management) mechanisms, which perform a congestion control in a router to assist the end-to-end congestion control mechanism of TCP, have been actively studied by many researchers. For instance, RED (Random Early Detection) is a representative AQM mechanism, which drops an arriving packet with a probability being proportional to its average queue length. RED has four control parameters, and the effectiveness of RED depends on a choice of these control parameters. This is why many researches on the parameter tuning of RED control parameters have been performed. However, most of those studies have investigated the effect of RED control parameters on its performance from a small number of simulation results. In this paper, we therefore statistically analyze a great number of simulation results using the multivariate analysis. We quantitatively show the relation between RED control parameters and its performance.
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Keyword(in English) Active Queue Management / RED(Random Early Detection) / Parameters Tuning / Multivariate Analysis
Paper # NS2002-25
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Committee NS
Conference Date 2002/4/12(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Study on Performance Evaluation of Active Queue Management Mechanisms using Multivariate Analysis
Sub Title (in English)
Keyword(1) Active Queue Management
Keyword(2) RED(Random Early Detection)
Keyword(3) Parameters Tuning
Keyword(4) Multivariate Analysis
1st Author's Name Tomoya EGUCHI
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Hiroyuki OHSAKI
2nd Author's Affiliation Cybermedia Center, Osaka University
3rd Author's Name Masayuki MURATA
3rd Author's Affiliation Cybermedia Center, Osaka University
Date 2002/4/12
Paper # NS2002-25
Volume (vol) vol.102
Number (no) 20
Page pp.pp.-
#Pages 4
Date of Issue