Web Services and Business Transactions
World Wide Web
A Formal Treatment of the SACReD Protocol for Multidatabase Web Transactions
DEXA '00 Proceedings of the 11th International Conference on Database and Expert Systems Applications
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
QoS Aggregation for Web Service Composition using Workflow Patterns
EDOC '04 Proceedings of the Enterprise Distributed Object Computing Conference, Eighth IEEE International
QoS Aggregation in Web Service Compositions
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
Autonomic Execution of Web Service Compositions
ICWS '05 Proceedings of the IEEE International Conference on Web Services
Policy-Driven Exception-Management for Composite Web Services
CEC '05 Proceedings of the Seventh IEEE International Conference on E-Commerce Technology
A Failure-Aware Model for Estimating and Analyzing the Efficiency of Web Services Compositions
PRDC '05 Proceedings of the 11th Pacific Rim International Symposium on Dependable Computing
Architecture-based reliability prediction for service-oriented computing
Architecting Dependable Systems III
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Prediction of the Quality of Service (QoS) of Composite Web Services (CWS) makes it possible to tell whether the CWS meets the nonfunction requirements, and to choose the CWS with better QoS from those with similar function. QoS prediction is based on the estimation of the execution process of CWS. For the reliability of CWS executions, Web service transaction has been proposed, which will affect the execution process. However, the existing approaches have not considered the effect. Thus they have limited accuracy when predicting the CWS with transactions. The paper proposes an approach for QoS prediction of CWS with transactions. A specification model is defined to specify execution processes of CWS according to the exception handling policies of transactions. Based on the model, an algorithm is proposed. The experiment proves that the algorithm has much lower error rate and better feasibility than the previous approaches when predicting CWS with transactions.