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Conference paper Open Access

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

Rosa


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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Rosa</dc:creator>
  <dc:date>2019-08-01</dc:date>
  <dc:description>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.</dc:description>
  <dc:description>Preprint submitted to RO2019 workshop at IEEE eScience Conference 2019</dc:description>
  <dc:identifier>https://zenodo.org/record/3357806</dc:identifier>
  <dc:identifier>10.5281/zenodo.3357806</dc:identifier>
  <dc:identifier>oai:zenodo.org:3357806</dc:identifier>
  <dc:relation>info:eu-repo/grantAgreement/EC/H2020/777413/</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3357805</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/ro</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Scientific Workflows, Cloud systems, FAIR</dc:subject>
  <dc:title>DARE Platform: Enabling Easy Data-Intensive Workflow Composition and Deployment.</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
</oai_dc:dc>
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