Evaluating Provenance-based Trust for Scientific Workflows

  • Authors:
  • Shrija Rajbhandari;Ian Wootten;Ali Shaikh Ali;Omer F. Rana

  • Affiliations:
  • Cardiff University, UK;Cardiff University, UK;Cardiff University, UK;Cardiff University, UK

  • Venue:
  • CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
  • Year:
  • 2006

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Abstract

Provenance is the documentation concerning the origin of a result generated by a process, and provides explanations about who, how, what resources were used in a process, and the processing steps that occurred to produce the result. Such provenance information is important to improve a scientist's ability to judge and place certain amount of trust on the generated data. We illustrate how provenance information associated with a workflow can be used to evaluate trust. This work is based on several use cases from a Bio-Diversity application. We also propose a simple architecture to illustrate our trust framework.