Skip to content

v0.3
Compare
Choose a tag to compare
@rafaelfsilva rafaelfsilva released this 30 Aug 19:14
v0.3
7d8e0e0

The WorkflowHub project is a community framework for enabling scientific workflow research and development by providing foundational tools for analyzing workflow execution traces, and generating synthetic, yet realistic, workflow traces that can be used to develop new techniques, algorithms and systems that can overcome the challenges of efficient and robust execution of ever larger workflows on increasingly complex distributed infrastructures.

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.
  • 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 improved the documentation (#1), fixed an issue with the Montage generator (#2), and performed some enhancements (#3, #4).

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

Assets 2
Loading