Analysis and simulation of Web services
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: The Semantic Web: an evolution for a revolution
Web Service Composition Languages: Old Wine in New Bottles?
EUROMICRO '03 Proceedings of the 29th Conference on EUROMICRO
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
QoS computation and policing in dynamic web service selection
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
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
Modelling and verification of BPEL business processes
MBD-MOMPES '06 Proceedings of the Fourth Workshop on Model-Based Development of Computer-Based Systems and Third International Workshop on Model-Based Methodologies for Pervasive and Embedded Software
An approach to modeling Web service QoS and provision price
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
Architecture-based reliability prediction for service-oriented computing
Architecting Dependable Systems III
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
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Business Process Execution Language (BPEL) is one of the most popular languages for Web service composition. To predict the QoS of composite service processes specified in BPEL gives the way to tell whether the process meet the non-function requirements, and to choose the process with better QoS from those with similar function. A model-driven approach for QoS prediction of BPEL processes is proposed in this paper, which has a two-layer architecture: One is the prediction model specifying necessary information for prediction and independent of specific languages, and the other is the semantic model of specific languages such as BPEL. A set of transformation rules is defined between the two layers so that processes specified in specific languages can be transformed to the prediction model. A prediction algorithm is defined based on the prediction model, and through the algorithm the average value of process QoS attribute can be computed. The approach can be used not only to BPEL processes but also to processes in other specifications such as BPML and BPSS, if the mapping rules between the semantic models of these languages and the prediction model are defined. The feasibility and good accuracy of the approach has been proved by the experiment.