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@rafaelfsilva rafaelfsilva released this 02 Jan 18:15
v0.4
be53d1f

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

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

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.

In this version, we have added three new workflow generator recipes (#9, #12), added a parser for Pegasus (#5, #6) and Makeflow (#10) workflow systems, provided the ability to increase/reduce runtime and files size by a factor (#11), fixed an issue with the Montage generator (#7) and file size generation (#8), and performed some enhancements.

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

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