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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

DOI: doi:10.1109/SCC.2013.85

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
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
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