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Correlated contribution analysis for service composition in dynamic environments
Citation
Jiang, J and Bai, Q, Correlated contribution analysis for service composition in dynamic environments, Proceedings of the 10th IEEE International Conference on Services Computing, 28 June - 3 July 2013, Santa Clara Marriott, CA, USA, pp. 113-119. ISBN 978-0-7695-5026-8 (2013) [Refereed Conference Paper]
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Copyright Statement
Copyright 2013 IEEE
Abstract
Service Oriented Computing Systems can be considered as a type of complex systems consisting of a number of loosely coupled autonomous and adaptive components (i.e., service components). Service quality depends on the performance of the "service group", and many dynamic factors including the expectation of service consumers, the availability of resources, etc. Trust is an important factor for determining the interrelationships among service components. In this paper, we consider the dynamic factors in service composition, and propose a trust management approach, which adopts related methods in information theory, to enable more reliable service composition in dynamic environments. From the experimental results, we claim that the proposed approach can effectively handle dynamic factors in open environments, and obtain better service composition results.
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | service composition, trust mining |
Research Division: | Information and Computing Sciences |
Research Group: | Computer vision and multimedia computation |
Research Field: | Pattern recognition |
Objective Division: | Information and Communication Services |
Objective Group: | Information systems, technologies and services |
Objective Field: | Application software packages |
UTAS Author: | Bai, Q (Dr Quan Bai) |
ID Code: | 140713 |
Year Published: | 2013 |
Deposited By: | Information and Communication Technology |
Deposited On: | 2020-09-02 |
Last Modified: | 2020-12-10 |
Downloads: | 30 View Download Statistics |
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