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@rafaelfsilva rafaelfsilva released this 25 Apr 01:54
v0.5
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Learn about vigilant mode.

WfCommons is a community framework that provides a collection of tools for analyzing workflow execution instances, producing realistic synthetic workflow traces, and simulating workflow executions.

This Python package provides a collection of tools for: (i) Analyzing instances of actual workflow executions; (ii) Producing recipes structures for creating workflow recipes for workflow generation; and (iii) Generating synthetic realistic workflow instances.

The current list of available workflow recipes include the following workflow applications:

  • 1000Genome: A high-throughput data-intensive bioinformatics workflow.
  • BLAST: A high-throughput compute-intensive bioinformatics workflow.
  • BWA: A high-throughput data-intensive bioinformatics workflow.
  • Cycles: A high-throughput compute-intensive scientific workflow for agroecosystems modeling.
  • Epigenomics: A high-throughput data-intensive bioinformatics workflow.
  • Montage: A high-throughput compute-intensive astronomy workflow.
  • Seismology: A high-throughput data-intensive seismology workflow.
  • SoyKB: A high-throughput data-intensive bioinformatics workflow.

Documentation and additional information: https://wfcommons.org

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