A Service Level Agreement Language for Dynamic Electronic Services
Electronic Commerce Research
Unraveling the Web Services Web: An Introduction to SOAP, WSDL, and UDDI
IEEE Internet Computing
IEEE Internet Computing
Communications of the ACM - Service-oriented computing
Response-Time Analysis of Composite Web Services
IEEE Internet Computing
QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
A Framework and Ontology for Dynamic Web Services Selection
IEEE Internet Computing
Constraint Driven Web Service Composition in METEOR-S
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
Composing Web Services: A QoS View
IEEE Internet Computing
Web services QoS: external SLAs and internal policies or: how do we deliver what we promise?
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
A concept for QoS integration in web services
WISEW'03 Proceedings of the Fourth international conference on Web information systems engineering workshops
International Journal of Web and Grid Services
An integrated framework for QoS-based adaptation and exception resolution in WS-BPEL scenarios
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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Web Services are the most promising innovative solution in order to remove business and technical obstacles for e-business. They support a true service oriented architecture that is designed to securely expose business logic beyond the firewall. As the momentum around Web Services increases, there is a growing need for effective mechanisms to coordinate the interaction among them. Business Process Execution Language for Web Services (BPEL) is a good candidate, such that it satisfies the needs of the business to enable this interaction. However, BPEL still is far from fulfilling all the requirements of composition. In this research, we constructed an architecture to improve performance of parallel executions in BPEL documents. Our architecture, by the help of our controller agent, allows dynamic execution of statically designed flow with respect to customer defined issues and QoS parameters at both implementation time and runtime.