Presentation 2002/7/12
On Control Parameter Tuning for Active Queue Management Mechanisms using Multivariate Analysis
Tomoya EGUCHI, Hiroyuki OHSAKI, Masayuki MURATA,
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Abstract(in English) In recent years, AQM (Active Queue Management) mechanisms, which support the end-to-end congestion control mechanism of TCP by performing congestion control at a router, have been actively studied by many researchers. AQM mechanisms usually have several control parameters, and their effectiveness depends on a setting of those control parameters. Therefore, issues on parameter tuning of several AQM mechanisms have been extensively studied using simulation experiments. However, in most of those studies, only a small number of simulation experiments are performed for investigating the effect of control parameters on the performance of AQM mechanisms. In this paper, we therefore statistically analyze a large number of simulation experiments using multivariate analysis, and quantitatively show how the performance of AQM mechanisms is affected by a setting of control parameters. In particular, we analyze the performance of three AQM mechanisms: GRED (Gentle RED), DRED (Dynamic RED), and SRED (Stabilized RED), all of which are variants of RED (Random Early Detection). Through several numerical examples, we clarify how control parameters of GRED, DRED, and SRED have impact on their steady state performance measures such as the average queue length and the packet loss probability. We present a few guidelines for configuring control parameters of those AQM mechanisms.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Active Queue Management Mechanism / RED (Random Early Detection) / GRED (Gentle RED) / DRED (Dynamic RED) / SRED (Stabilized RED) / Parameters Tuning / Multivariate Analysis
Paper # IN2002-52
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Committee IN
Conference Date 2002/7/12(1days)
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Language JPN
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Title (in English) On Control Parameter Tuning for Active Queue Management Mechanisms using Multivariate Analysis
Sub Title (in English)
Keyword(1) Active Queue Management Mechanism
Keyword(2) RED (Random Early Detection)
Keyword(3) GRED (Gentle RED)
Keyword(4) DRED (Dynamic RED)
Keyword(5) SRED (Stabilized RED)
Keyword(6) Parameters Tuning
Keyword(7) 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 Graduate School of Information Science and Technology, Osaka University
3rd Author's Name Masayuki MURATA
3rd Author's Affiliation Cybermedia Center, Osaka University
Date 2002/7/12
Paper # IN2002-52
Volume (vol) vol.102
Number (no) 214
Page pp.pp.-
#Pages 6
Date of Issue