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) |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | 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 |
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