Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/117918
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- Title
- QoS analysis for web service composition
- Related
- IEEE International Conference on Services Computing (21 - 25 September 2009 : Bangalore, India)
- Related
- 2009 IEEE International Conference on Services Computing : proceedings, Bangalore, India, 21-25 September 2009, p.235-242
- DOI
- 10.1109/SCC.2009.28
- Publisher
- Los Alamitos, Calif : IEEE Computer Society
- Date
- 2009
- FoR/RFCD Code(s)
-
080500 Distributed Computing
- Author/Creator
- Zheng, Huiyuan
- Author/Creator
- Zhao, Weiliang
- Author/Creator
- Yang, Jian
- Author/Creator
- Bouguettaya, Athman
- Description
- 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.
- Description
- 8 page(s)
- Subject Keyword
- 080500 Distributed Computing
- Subject Keyword
- QoS
- Subject Keyword
- service composition
- Resource Type
- conference paper
- Organisation
- Macquarie University. Dept. of Computing
- Identifier
- http://hdl.handle.net/1959.14/117918
- Identifier
- ISBN:9780769538112
- Identifier
- mq-rm-2009004985
- Language
- eng
- Rights
- 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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