Configuring Large Systems Using Generative Constraint Satisfaction
IEEE Intelligent Systems
Configuration-Based Workflow Composition
ICWS '05 Proceedings of the IEEE International Conference on Web Services
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ICSOC '08 Proceedings of the 6th International Conference on Service-Oriented Computing
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Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Service Composition as Generative Constraint Satisfaction
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
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IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
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Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
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In our prior work we showed the benefits of formulating service composition as a Generative Constraint Satisfaction Problem (GCSP), where available services and composition problems are modeled in a generic manner and are instantiated on-the-fly during the solving process, in dynamic composition scenarios. In this paper, we (1) outline the salient features of our framework, (2) present extensions to our framework in the form of process-level invariants, and (3) evaluate the effectiveness of our framework in difficult scenarios, where a number of similar and potentially unsuitable services have to be explored during composition.