A Formal Approach to Support Interoperability in Scientific Meta-workflows
- Submitting institution
-
The University of Westminster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 9yw70
- Type
- D - Journal article
- DOI
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10.1007/s10723-016-9383-x
- Title of journal
- Journal of Grid Computing
- Article number
- -
- First page
- 655
- Volume
- 14
- Issue
- 4
- ISSN
- 1570-7873
- Open access status
- Compliant
- Month of publication
- October
- Year of publication
- 2016
- 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
-
4
- Research group(s)
-
-
- Citation count
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper presents the concept of two major approaches of workflow interoperability (coarse-grained (CGI) and fine-grained (FGI) interoperability) and gives their formal description. It also defines the major types of meta-workflows. These approaches go significantly beyond the state of the art enabling scientists to combine workflows into complex meta-workflows and execute these. The CGI approach was implemented in the SHIWA Simulation Platform. Several research communities, such as Astrophysics, Bio-science, Computational Chemistry, etc. widely use the CGI concept to create 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
- -
