QoS analysis for Web service composition

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

30 Citations (Scopus)
8 Downloads (Pure)

Abstract

The quality of service (QoS) is a major concern in the design and management of Web service composition. Existing methods for QoS calculation either do not take the probability of path execution into consideration when QoSs are provided for different execution paths, or do not take different execution paths into consideration when a single integrated QoS is provided for the whole composition. In this paper, a comprehensive QoS analysis approach is proposed that calculates the QoS probability distribution by considering both the execution probability and execution conditions of each path in the service composition. Four types of basic composition patterns in the service composition are discussed: sequential, parallel, loop and conditional. In particular, a QoS solution is provided for all types of loop structured service composition.

Original languageEnglish
Title of host publicationSCC 2009 - 2009 IEEE International Conference on Services Computing
Place of PublicationPiscataway, N.J.
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages235-242
Number of pages8
ISBN (Print)9780769538112
DOIs
Publication statusPublished - 2009
EventSCC 2009 - 2009 IEEE International Conference on Services Computing - Bangalore, India
Duration: 21 Sep 200925 Sep 2009

Other

OtherSCC 2009 - 2009 IEEE International Conference on Services Computing
CountryIndia
CityBangalore
Period21/09/0925/09/09

Bibliographical note

Copyright 2009 IEEE. Reprinted from 2009 IEEE International Conference on Services Computing : proceedings, Bangalore, India, 21-25 September 2009. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Macquarie University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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