QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
Computing System Reliability: Models And Analysis
Computing System Reliability: Models And Analysis
Services Computing: Grid Applications for Today
IT Professional
Service Selection Algorithms for Web Services with End-to-End QoS Constraints
CEC '04 Proceedings of the IEEE International Conference on E-Commerce Technology
Real-Time Strategy and Practice in Service Grid
COMPSAC '04 Proceedings of the 28th Annual International Computer Software and Applications Conference - Volume 01
Current Solutions for Web Service Composition
IEEE Internet Computing
WWW '05 Proceedings of the 14th international conference on World Wide Web
QoS-Aware Replanning of Composite Web Services
ICWS '05 Proceedings of the IEEE International Conference on Web Services
WS-replication: a framework for highly available web services
Proceedings of the 15th international conference on World Wide Web
Adaptation inWeb Service Composition and Execution
ICWS '06 Proceedings of the IEEE International Conference on Web Services
Efficient algorithms for Web services selection with end-to-end QoS constraints
ACM Transactions on the Web (TWEB)
IEEE Transactions on Computers
Method for evaluating QoS trustworthiness in the service composition
ICICA'10 Proceedings of the First international conference on Information computing and applications
QoS-Driven proactive adaptation of service composition
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
The WTE+ framework: automated construction and runtime adaptation of service mashups
Automated Software Engineering
An automatic subdigraph renovation plan for failure recovery of composite semantic Web services
Frontiers of Computer Science: Selected Publications from Chinese Universities
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Web services run in a highly dynamic environment, as a result, the QoS of which will change relatively frequently. In order to make the composite service adapt to such dynamic property of Web services, we propose a self-healing approach for web service composition. Such an approach is an integration of backing up in selection and reselecting in execution. In order to make the composite service heal itself as quickly as possible and minimize the number of reselections, a way of performance prediction is proposed in this paper. On this basis, the self-healing approach is presented including framework, the triggering algorithm of the reselection and the reliability model of the service. Experiments show that the proposed solutions have better performance in supporting the self-healing Web service composition.