QoS-Aware Middleware for Web Services Composition
IEEE Transactions on Software Engineering
An approach for QoS-aware service composition based on genetic algorithms
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
A Declarative Approach for QoS-Aware Web Service Compositions
ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
QoS Policies for Business Processes in Service Oriented Architectures
ICSOC '08 Proceedings of the 6th International Conference on Service-Oriented Computing
A Flexible Approach for Business Processes Monitoring
DAIS '09 Proceedings of the 9th IFIP WG 6.1 International Conference on Distributed Applications and Interoperable Systems
Towards dynamic monitoring of WS-BPEL processes
ICSOC'05 Proceedings of the Third international conference on Service-Oriented Computing
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For a successful collaboration between enterprises, Web services and service compositions need to fulfill certain QoS (Quality of Service) requirements so that they can be trusted by their clients. Thus, the best services have to be chosen for the composition, the performance of the composition needs to be monitored and in case of QoS deviations, appropriate management actions are required. We propose the BPRules language and the BPR-framework that offer novel capabilities and improved flexibility for the management of BPEL processes with regard to QoS concerns. The BPRules language allows to specify the QoS monitoring of BPEL processes and offers a variety of management actions for controlling the process and for the improvement of its QoS behavior. Thereby, the BPR-framework provides the necessary components to perform the QoS monitoring and to execute the management actions. For the selection of high quality services, the BPR-framework comes with efficient selection algorithms, like our OPTIM_PRO algorithm. We present the features of BPRules that we consider as indispensable for managing the services' QoS behavior.