Cloud infrastructure provenance collection and management to reproduce scientific workflows execution
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 859981
- Type
- D - Journal article
- DOI
-
10.1016/j.future.2017.07.015
- Title of journal
- Future Generation Computer Systems
- Article number
- -
- First page
- 799
- Volume
- 86
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2017
- URL
-
https://doi.org/10.1016/j.future.2017.07.015
- 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
-
2
- Research group(s)
-
-
- Citation count
- 4
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents outcomes of the European Union funded project grant agreement no. 283562. The developed mapping approaches aid in capturing scientific workflow execution provenance from a Cloud infrastructure (virtual machines) and then re-provisioning of the execution resource(s) on Cloud with similar configurations. The experiments have demonstrated that the proposed mapping approaches can capture Cloud information in various Cloud usage scenarios. The evaluations were conducted using workflows from different scientific domains such as astronomy and neuroscience that evidenced the wider applicability of the research.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
