Presentation 2005-01-20
Statistical Analysis of End-to-End Delay Characteristics using the Mixed Distribution
Yasuhiro SATO, Shingo ATA, Ikuo OKA, Chikato FUJIWARA,
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Abstract(in English) An end-to-end round trip time (RTT) is one of the most important communication characteristics for Internet applications. In order to meet the quality of service (QoS) for applications such as streaming services, it is important to understand and predict the delay characteristic accurately. Because characteristics of the packet transmission delay in the Internet varies are strongly related to the time-dependent the condition of network. Especially, it is obvious that two or more factors may interfere in observed delay characteristics. In this paper, we express these delay characteristics by using the mixture of two or more probability distributions (especially normal distribution), not by single distribution. By investivation the factor which infects the delay distribution, we presume the events that occur in network from the delay characteristic obtained by the observation in the end host.
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Keyword(in English) delay characteristic / round trip time (RTT) / mixed distribution / modeling / normal distribution
Paper # IN2004-152,TM2004-75,OIS2004-73
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Conference Date 2005/1/13(1days)
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Title (in English) Statistical Analysis of End-to-End Delay Characteristics using the Mixed Distribution
Sub Title (in English)
Keyword(1) delay characteristic
Keyword(2) round trip time (RTT)
Keyword(3) mixed distribution
Keyword(4) modeling
Keyword(5) normal distribution
1st Author's Name Yasuhiro SATO
1st Author's Affiliation Graduate School of Engineering, Osaka City University()
2nd Author's Name Shingo ATA
2nd Author's Affiliation Graduate School of Engineering, Osaka City University
3rd Author's Name Ikuo OKA
3rd Author's Affiliation Graduate School of Engineering, Osaka City University
4th Author's Name Chikato FUJIWARA
4th Author's Affiliation Faculty of Modern Management Information, Osaka Seikei University
Date 2005-01-20
Paper # IN2004-152,TM2004-75,OIS2004-73
Volume (vol) vol.104
Number (no) 564
Page pp.pp.-
#Pages 6
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