Presentation 2000/5/19
End-to-End Internet Delay Dynamics
Leping HUANG, Kaoru SEZAKI,
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Abstract(in English) In this paper, we analyze the characteristics of time varying exponential distribution model, a model we proposed before to model the end-to-end delay. Through delay measurement and analysis, we find that there is high correlation between adjacent states, and the correlation is not sensible to the changes of the significance level of KS test. Based on this result, we provide an enhancement to this delay model. We propose two applications of this model, delay estimation and synthetic delay generation, at last of the paper.
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Keyword(in English) delay / estimation / traffic / measurement / time series analysis / QoS
Paper # CQ2000-6
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Committee CQ
Conference Date 2000/5/19(1days)
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Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) End-to-End Internet Delay Dynamics
Sub Title (in English)
Keyword(1) delay
Keyword(2) estimation
Keyword(3) traffic
Keyword(4) measurement
Keyword(5) time series analysis
Keyword(6) QoS
1st Author's Name Leping HUANG
1st Author's Affiliation Institute of Industrial Science, the University of Tokyo()
2nd Author's Name Kaoru SEZAKI
2nd Author's Affiliation Institute of Industrial Science, the University of Tokyo
Date 2000/5/19
Paper # CQ2000-6
Volume (vol) vol.100
Number (no) 93
Page pp.pp.-
#Pages 6
Date of Issue