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Trust evaluation in composite services selection and discovery

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/120189

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Title: Trust evaluation in composite services selection and discovery
Related: IEEE International Conference on Services Computing (21- 25 September 2009 : Bangalore)
Related: 2009 IEEE International Conference on Services Computing : proceedings, Bangalore, India, 21-25 September 2009, p.482-485
DOI: 10.1109/SCC.2009.70
Publisher: Los Alamitos, Calif : IEEE Computer Society
Date: 2009
FoR/RFCD Code(s): 080300 Computer Software 080500 Distributed Computing 080600 Information Systems
Author/Creator: Li, Lei
Author/Creator: Wang, Yan
Description: In Serviced-Oriented Computing (SOC) environments, the trust level of a service or a service provider is a critical issue for a service client to consider, particularly when the client is looking for a service from a large set of services or service providers. However, a service may invoke other services offered by different providers forming composite services. The complex invocation relations significantly increase the complexity of trust evaluation in composite services. In this paper, we propose a novel algorithm for trust evaluation in composite services that takes all atomic invocations into account, which is essential for composite services selection and discovery.
Description: 4 page(s)
Subject Keyword: 080300 Computer Software
Subject Keyword: 080500 Distributed Computing
Subject Keyword: 080600 Information Systems
Resource Type: conference paper
Organisation: Macquarie University. Dept. of Computing

Identifier: http://hdl.handle.net/1959.14/120189
Identifier: ISBN:9780769538112
Identifier: mq-rm-2009000908
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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