Reproducibility of scientific workflows execution using cloud-aware provenance (ReCAP)
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 872156
- Type
- D - Journal article
- DOI
-
10.1007/s00607-018-0617-6
- Title of journal
- Computing
- Article number
- -
- First page
- 1299
- Volume
- 100
- Issue
- 12
- ISSN
- 0010-485X
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2018
- URL
-
https://doi.org/10.1007/s00607-018-0617-6
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This output from the EU NeuGrid4You project presents a novel approach to present Cloud infrastructure’s provenance information about the execution of a scientific workflow as an interactive graph. The developed approach can detect changes in the provenance traces and the outputs produced by the scientific workflow. The resultant workflow execution reproducibility on the Cloud can be determined by comparing the workflow provenance at all of the three levels i.e., workflow structure, execution infrastructure and workflow outputs. The analyses of the workflow output comparison have demonstrated that the proposed approach is effective for scientific workflows as well for the deterministic calculations.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
