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Issue No.02 - March/April (2009 vol.13)
pp: 26-34
Jianwei Yin , Zhejiang University
Hanwei Chen , Zhejiang University
Shuiguang Deng , Zhejiang University
Zhaohui Wu , Zhejiang University
Calton Pu , Georgia Institute of Technology
Service integration is an important issue in service-oriented computing. As an infrastructure for service-oriented architectures, the enterprise service bus (ESB) has been regarded as a promising way to support dynamic and agile service integration in distributed heterogeneous environments. The authors' ESB framework for large-scale service integration, JTangSynergy, adopts several mechanisms for providing effective and efficient dependability. It enables automated recovery from component failures and robust execution of composite services by checking service compatibility. The authors tested JTangSynergy in the Chinese Healthcare Service Integration project.
dependability, enterprise service bus, Web services, healthcare service integration, clusters, service compatibility, Dependable Service-Oriented Computing
Jianwei Yin, Hanwei Chen, Shuiguang Deng, Zhaohui Wu, Calton Pu, "A Dependable ESB Framework for Service Integration", IEEE Internet Computing, vol.13, no. 2, pp. 26-34, March/April 2009, doi:10.1109/MIC.2009.26
1. M. Schmidt et al., "The Enterprise Service Bus: Making Service-Oriented Architecture Real," IBM System J., vol. 44, no. 4, 2008; .
2. H.J. Chen et al., "RDF/RDFS-Based Relational Database Integration," Proc. 22nd Int'l Conf. Data Engineering (ICDE 06), IEEE Press, 2006, pp. 94–103.
3. H.W. Chen et al., "JTang Synergy: A Service Oriented Architecture for Enterprise Application Integration," Proc. 11th Int'l Conf. Computer Supported Cooperative Work in Design, 2007, IEEE Press, 2007, pp. 502–507.
4. B. Medjahed and B. Athman, "A Multilevel Composability Model for Semantic Web Services," IEEE Trans. Knowledge and Data Eng., vol. 17, no. 7, 2005, pp. 954–968.
5. Z.H. Wu et al., "Computing Compatibility in Dynamic Service Composition," Int'l J. Knowledge and Information Systems, vol. 19, no. 1, 2009; (online first in Springerlink at ).
6. J. Wu and Z.H. Wu, "Similarity-Based Web Service Matchmaking," Proc. Int'l Conf. Services Computing (SCC 05), IEEE Press, 2005, pp. 287–294.
7. L. Kuang et al., "Expressing Service and Query Behavior Using pi-Calculus for Matchmaking," Proc. Int'l Conf. Web Intelligence, IEEE Press, 2006, pp. 629–632.
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