QoS probability distribution estimation for web services and service compositions

Huiyuan Zheng*, Jian Yang, Weiliang Zhao

*Corresponding author for this work

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

18 Citations (Scopus)

Abstract

In this paper, we propose an approach to model the probability density function (PDF) of the QoS of a web service (QoWS) based on non-parametric statistical method. Mathematical formulas are designed to calculate the QoS distributions for service compositions (QoCS). Experiment has been done to show that the proposed QoWS distribution modeling approach is much more accurate than exiting methods. An accurate PDF estimation can be obtained for the QoCS if the PDF of the component QoWSs are modeled by the proposed method.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2010
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-8
Number of pages8
ISBN (Print)9781424498017
DOIs
Publication statusPublished - 2010
Event2010 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2010 - Perth, WA, Australia
Duration: 13 Dec 201015 Dec 2010

Other

Other2010 IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2010
CountryAustralia
CityPerth, WA
Period13/12/1015/12/10

Keywords

  • Probability distribution
  • QoS
  • Service composition
  • Web service

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