QoS analysis for web service compositions based on probabilistic QoS

Huiyuan Zheng*, Jian Yang, Weiliang Zhao, Athman Bouguettaya

*Corresponding author for this work

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

46 Citations (Scopus)

Abstract

Quality of Service (QoS) analysis and prediction for Web service compositions is an important and challenging issue in distributed computing. In existing work, QoS for service compositions is either calculated based on constant QoS values or simulated based on probabilistic QoS distributions of component services. Simulation method is time consuming and can not be used in real-time applications for dynamic Web service compositions. In this paper, we propose a calculation method to estimate the QoS of a service composition, in which the probability distributions of the QoS of component services can be in any shape. Experimental results show that the proposed QoS calculation approach significantly improves the efficiency in probabilistic QoS estimation.

Original languageEnglish
Title of host publicationService-Oriented Computing - 9th International Conference, ICSOC 2011, Proceedings
EditorsGerti Kappel, Zakaria Maamar, Hamid R. Motahari-Nezhad
Place of PublicationBerlin/Heidelberg
PublisherSpringer, Springer Nature
Pages47-61
Number of pages15
Volume7084 LNCS
ISBN (Print)9783642255342
DOIs
Publication statusPublished - 2011
Event9th International Conference on Service-Oriented Computing, ICSOC 2011 - Paphos, Cyprus
Duration: 5 Dec 20118 Dec 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7084 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Conference on Service-Oriented Computing, ICSOC 2011
Country/TerritoryCyprus
CityPaphos
Period5/12/118/12/11

Fingerprint

Dive into the research topics of 'QoS analysis for web service compositions based on probabilistic QoS'. Together they form a unique fingerprint.

Cite this