Enabling Scientific Workflow Sharing through Coarse-Grained Interoperability
- Submitting institution
-
The University of Westminster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 971q2
- Type
- D - Journal article
- DOI
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10.1016/j.future.2014.02.016
- Title of journal
- Future Generation Computing Systems: The International Journal of Grid Computing and eScience
- Article number
- -
- First page
- 46
- Volume
- 37
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2014
- URL
-
-
- 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
-
5
- Research group(s)
-
-
- Citation count
- 36
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper presents the concept and formal description of the coarse-grained interoperability (CGI) of scientific workflows. This concept goes significantly beyond the state of the art enabling scientists to publish, share and combine workflows of different workflow systems into complex meta-workflows. As a result, it outstandingly decreases efforts needed for development of meta-workflows. This concept was implemented in the SHIWA Simulation Platform. Several research communities, such as Astrophysics, Bio-science, Computational Chemistry, etc. widely use this concept to develop and run scientific workflows in the Cloud and the Grid in the FP7 SHIWA (http://www.shiwa-workflow.eu/) and ER-flow projects (http://www.erflow.eu/platform), and beyond.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
