Abstract
The paper presents a concept and an implementation of dynamic learning of compatibilities of services used in a workflow application. While services may have the same functionality, they may accept input and produce output in different formats. The proposed solution learns matching of outputs and inputs at runtime and uses this knowledge in subsequent runs of workflow applications. The presented solution was implemented in an existing workflow execution system – BeesyBees.
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Czarnul, P., Wójcik, M. (2012). Dynamic Compatibility Matching of Services for Distributed Workflow Execution. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2011. Lecture Notes in Computer Science, vol 7204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31500-8_16
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DOI: https://doi.org/10.1007/978-3-642-31500-8_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31499-5
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