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A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows.
- Source :
- Provenance & Annotation of Data & Processes; 2008, p152-159, 8p
- Publication Year :
- 2008
-
Abstract
- Capturing provenance information in scientific workflows is not only useful for determining data-dependencies, but also for a wide range of queries including fault tolerance and usage statistics. As collaborative scientific workflow environments provide users with reusable shared workflows, collection and usage of provenance data in a generic way that could serve multiple data and computational models become vital. This paper presents a method for capturing data value- and control- dependencies for provenance information collection in the Kepler scientific workflow system. It also describes how the collected information based on these dependencies could be used for a fault tolerance framework in different models of computation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9783540899648
- Database :
- Complementary Index
- Journal :
- Provenance & Annotation of Data & Processes
- Publication Type :
- Book
- Accession number :
- 76831848
- Full Text :
- https://doi.org/10.1007/978-3-540-89965-5_17