A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows

  title={A Provenance-Based Fault Tolerance Mechanism for Scientific Workflows},
  author={Daniel Crawl and Ilkay Altintas},
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 valueand controldependencies for… CONTINUE READING
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