Abstract
This paper presents a planning-based approach for the enumeration of alternative data-centric workflows specified in ASASEL (Abstract State mAchineS Execution Language), which define the coordination of data and computation services for satisfying data requirements. The optimization of data-centric workflows is associated to the exploration of the parallelization of the workflow activities. We address the exploration of parallelism formalizing the enumeration problem in the DLV-K language. Together, our ASASEL language and enactment engine along with our enumeration approach provide the foundation for a highly flexible mechanism for managing data-centric workflows.
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López-Enríquez, C. M., Cuevas-Vicenttín, V., Vargas-Solar, G., Collet, C., & Zechinelli-Martini, J. L. (2015). A planning-based service composition approach for data-centric workflows. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8954, pp. 129–143). Springer Verlag. https://doi.org/10.1007/978-3-319-22885-3_12
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