Rosa
2019-08-01
<p>This work presents the DARE platform and working environment for enabling easy data-intensive workflow composition<br>
and deployment on clouds systems. DAREs technology translates scientists methods to concrete scientific workflows that<br>
can be portable and reproducible on different computing environments without making any (or little) changes. For achieving<br>
this, we have combined the strengths of dispel4py and CWL scientific workflows, Docker containers, Kubernetes infrastructure<br>
orchestration, Jupyter notebooks, and Cloud platforms.</p>
Preprint submitted to RO2019 workshop at IEEE eScience Conference 2019
https://doi.org/10.5281/zenodo.3357806
oai:zenodo.org:3357806
Zenodo
https://zenodo.org/communities/ro
https://zenodo.org/communities/eu
https://doi.org/10.5281/zenodo.3357805
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Scientific Workflows, Cloud systems, FAIR
DARE Platform: Enabling Easy Data-Intensive Workflow Composition and Deployment.
info:eu-repo/semantics/conferencePaper