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Evaluating provenance-based trust for scientific workflows

Rajbhandari, Shrija, Wootten, Ian M., Shaikh Ali, Ali and Rana, Omer Farooq 2006. Evaluating provenance-based trust for scientific workflows. Presented at: CCGrid06: Sixth IEEE International Symposium on Cluster Computing and the Grid, 2006, Singapore, 16-19 May 2006. Published in: Turner, Stephen John, Lee, Bu Sung and Cai, Wientong eds. Proceedings of the Sixth International Symposium on Cluster Computing and the Grid: CCGrid 06. Los Alamitos, CA: IEEE, pp. 365-372. 10.1109/CCGRID.2006.43

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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.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Publisher: IEEE
ISBN: 9780769525853
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Last Modified: 12 May 2020 13:55

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