Rajbhandari, Shrija, Wootten, Ian M., Shaikh Ali, Ali and Rana, Omer Farooq ORCID: https://orcid.org/0000-0003-3597-2646 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 |
Official URL: http://dx.doi.org/10.1109/CCGRID.2006.43
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.
Item Type: | Conference or Workshop Item (Paper) |
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Date Type: | Publication |
Status: | Published |
Schools: | Computer Science & Informatics |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Publisher: | IEEE |
ISBN: | 9780769525853 |
Related URLs: | |
Last Modified: | 10 Dec 2023 15:08 |
URI: | https://orca.cardiff.ac.uk/id/eprint/46963 |
Citation Data
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