Estimation of a heavy-tailed Weibull-Pareto distribution and its application to QoE modeling

Udo R. Krieger, Natalia M. Markovich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We model the end-to-end delay of advanced services in the Internet by means of a heavy-tailed Weibull-Pareto distribution (WPD). First we summarize the structural properties of the three-parameter WPD class and indicate its relation to the general Weibull-TX class. Then we present an effective estimation scheme to compute the parameters of a WPD distribution by a finite sample. Finally we show how a WPD distribution can be applied to determine the relevant QoE performance metric MOS of end-to-end delay dependent services in the Internet.

Original languageEnglish
Title of host publicationDistributed Computer and Communication Networks - 21st International Conference, DCCN 2018, Proceedings
EditorsVladimir M. Vishnevskiy, Dmitry V. Kozyrev, Dmitry V. Kozyrev
PublisherSpringer Verlag
Pages21-30
Number of pages10
ISBN (Print)9783319994468
DOIs
StatePublished - 1 Jan 2018
Externally publishedYes
Event21st International Conference on Distributed Computer and Communication Networks, DCCN 2018 - Moscow, Russian Federation
Duration: 17 Sep 201821 Sep 2018

Publication series

NameCommunications in Computer and Information Science
Volume919
ISSN (Print)1865-0929

Conference

Conference21st International Conference on Distributed Computer and Communication Networks, DCCN 2018
Country/TerritoryRussian Federation
CityMoscow
Period17/09/1821/09/18

Keywords

  • Heavy-tailed distributions
  • QoE modeling
  • Weibull-TX class
  • Weibull-pareto distribution

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

Fingerprint

Dive into the research topics of 'Estimation of a heavy-tailed Weibull-Pareto distribution and its application to QoE modeling'. Together they form a unique fingerprint.

Cite this