There is a newer version of this record available.

Working paper Open Access

StreamFlow: cross-breeding cloud with HPC

Iacopo Colonnelli; Barbara Cantalupo; Ivan Merelli; Marco Aldinucci

Citation Style Language JSON Export

  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3902872", 
  "title": "StreamFlow: cross-breeding cloud with HPC", 
  "issued": {
    "date-parts": [
  "abstract": "<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>", 
  "author": [
      "family": "Iacopo Colonnelli"
      "family": "Barbara Cantalupo"
      "family": "Ivan Merelli"
      "family": "Marco Aldinucci"
  "version": "v2", 
  "type": "article", 
  "id": "3902872"
All versions This version
Views 3925
Downloads 3521
Data volume 20.0 MB11.6 MB
Unique views 3118
Unique downloads 3218


Cite as