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DARE Platform: Enabling Easy Data-Intensive Workflow Composition and Deployment.

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type , Article 01 Jan 2019Publisher:ZenodoFunded by:EC | DARE
Authors: , Rosa;

doi: 10.5281/zenodo.3357806 , 10.5281/zenodo.3459720 , 10.5281/zenodo.3357805 , 10.5281/zenodo.3458522

DARE Platform: Enabling Easy Data-Intensive Workflow Composition and Deployment.

Abstract

This work presents the DARE platform and working environment for enabling easy data-intensive workflow composition and deployment on clouds systems. DAREs technology translates scientists methods to concrete scientific workflows that can be portable and reproducible on different computing environments without making any (or little) changes. For achieving this, we have combined the strengths of dispel4py and CWL scientific workflows, Docker containers, Kubernetes infrastructure orchestration, Jupyter notebooks, and Cloud platforms.

Preprint submitted to RO2019 workshop at IEEE eScience Conference 2019

Keywords

Scientific Workflows, Cloud systems, FAIR

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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