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Waiting Time Quantiles for the Gaussian Voice Traffic Model
Responsible organisation
2002 (English)Other (Other academic)Alternative title
Väntetidskvantiler för Gauss-rösttrafiksmodellen (Swedish)
Abstract [en]

Traffic models with a rate varying according to a Gaussian distribution are commonly used to evaluate statistical multiplexing in telecommunication systems. The superposition of a large number of homogeneous Markovian On-Off sources asymptotically approaches an Ornstein-Uhlenbeck process (OUP) which represents a Gaussian process with exponential autocorrelation function. The workload analysis for a multiplexer with OUP input leads to a simple and clearly structured dependence of waiting time quantiles on system and quality of service parameters. Semi-Markovian fitting procedures as well as the fluid flow method provide independent analysis ap-proaches at an assured accuracy level. The comparison of the corresponding waiting time quantiles shows the suitability of assuming traffic to be Gaussian already for a moderate number of traffic sources.

Abstract [sv]

Pappret presenterar och dikuterar en enkel approximationsformel som kan användas bl a för att dimensionera en nätverkslänk på ett sådant sätt att en önskad väntetid överskris enbart med typ 1 % sannolikhet. Statistisk multiplexeringsvinst, Gauss trafik, On-Off källor, tjänstekvalitet, väntetidskvantil

Place, publisher, year, pages
2002.
Keyword [en]
Statistical multiplexing gain, Gaussian traffic, On-Off sources, QoS
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-9338Local ID: oai:bth.se:forskinfoFED2CCF1FFAAC0D1C1256D9D00374390OAI: oai:DiVA.org:bth-9338DiVA: diva2:837150
Available from: 2012-09-18 Created: 2003-09-10 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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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
  • rtf