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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Automated Provenance Collection for CCA Component Assemblies
verfasst von : Kostadin Damevski, Hui Chen
Erschienen in: Computational Science – ICCS 2009
Verlag: Springer Berlin Heidelberg
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The problem of capturing provenance for computational tasks has recently received significant attention, due to the new set of beneficial uses (for optimization, debugging, etc.) of the recorded data. We develop a provenance collection system aimed at scientific applications that are based on the Common Component Architecture (CCA) that alleviates scientists from the responsibility to manually instrument code in order to collect provenance data. Our system collects provenance data at the granularity of component instances, by automatically recording all method invocations between them, including all input and output parameters. By relying on asynchronous communication and using optimizations to handle large data arrays, the overhead of our system is low-enough to allow continuous provenance collection.