Working paper Open Access

StreamFlow: cross-breeding cloud with HPC

Iacopo Colonnelli; Barbara Cantalupo; Ivan Merelli; Marco Aldinucci


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{
  "description": "<p>Workflows are among the most commonly used tools in a variety of execution environments. Many of them target a specific environment; few of them make it possible to execute an entire workflow in different environments, e.g. Kubernetes and batch clusters. We present a novel approach to workflow execution, called StreamFlow, that complements the workflow graph with the declarative description of potentially complex execution environments, and that makes it possible the execution onto multiple sites not sharing a common data space. StreamFlow is then exemplified on a novel bioinformatics pipeline for single-cell transcriptomic data analysis workflow.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Department of Computer Science, University of Torino, Italy", 
      "@id": "https://orcid.org/0000-0001-9290-2017", 
      "@type": "Person", 
      "name": "Iacopo Colonnelli"
    }, 
    {
      "affiliation": "Department of Computer Science, University of Torino, Italy", 
      "@id": "https://orcid.org/0000-0001-7575-3902", 
      "@type": "Person", 
      "name": "Barbara Cantalupo"
    }, 
    {
      "affiliation": "Biomedical Technologies (ITB) of the Italian National Research Council (CNR)", 
      "@id": "https://orcid.org/0000-0003-3587-3680", 
      "@type": "Person", 
      "name": "Ivan Merelli"
    }, 
    {
      "affiliation": "Department of Computer Science, University of Torino, Italy", 
      "@id": "https://orcid.org/0000-0001-8788-0829", 
      "@type": "Person", 
      "name": "Marco Aldinucci"
    }
  ], 
  "headline": "StreamFlow: cross-breeding cloud with HPC", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2020-02-26", 
  "url": "https://zenodo.org/record/3902872", 
  "version": "v2", 
  "keywords": [
    "Workflow", 
    "High-Performance Computing", 
    "Cloud", 
    "Bioinformatics"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3902872", 
  "@id": "https://doi.org/10.5281/zenodo.3902872", 
  "@type": "ScholarlyArticle", 
  "name": "StreamFlow: cross-breeding cloud with HPC"
}
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