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The Failure of 'The Failure of Poisson Modeling' for Internet Bandwidth Measurements
EvaluNet.
RISE, Swedish ICT, SICS, Computer Systems Laboratory.
2005 (English)Conference paper, (Refereed)
Abstract [en]

There is a classic paper, which claims that many parameters of network traffic are best modeled by stochastic distributions with infinite variance. We believe that although this paper is correct, it has commonly been overinterpreted. It is true that some distributions have infinite variance, but not all. There are important cases where distributions of traffic parameters have finite variance. As an example, we show that the end-to-end available bandwidth must have finite variance, outline a method for measuring it, and present some experimental data.

Place, publisher, year, edition, pages
2005, 1. , 4 p.
Keyword [en]
modeling, network, distribution, variance, tail-heavy, available bandwidth, measurement, Kalman filter.
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:ri:diva-21098OAI: oai:DiVA.org:ri-21098DiVA: diva2:1041132
Conference
Radiovetenskap och Kommunikation 2005 (RVK'05), 14-16 June 2005, Mjärdevi, Linköping, Sweden
Projects
EvaluNetEvaluNet
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2017-08-03Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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