Abstract
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.
This work was partially supported by the Australian Research Council (ARC) under grant DP0988961.
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Thiagarajan, R., Mayer, W., Stumptner, M. (2009). A Generative Framework for Service Process Composition. In: Baresi, L., Chi, CH., Suzuki, J. (eds) Service-Oriented Computing. ServiceWave ICSOC 2009 2009. Lecture Notes in Computer Science, vol 5900. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10383-4_25
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DOI: https://doi.org/10.1007/978-3-642-10383-4_25
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