Workflow INstance Generation and Selection

Description

WINGS is a workflow system that assists scientists with the design of computational experiments. WINGS reasons about dataset and component constraints to create and validate workflows and to generate metadata for new data products. WINGS uses Pegasus as the execution engine for large-scale distributed workflow execution.

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Status

  • Sept 14, 2010: We are preparing a new release of Wings, which we expect to make available in the next few weeks. Until then, if you are curious, you can get a glimpse at what the new version will be like by checking out our sandbox.
  • Wings has been used in creating SCEC (Southern California Earthquake Center) hazard curves for Cal State Northridge in the San Fernando basin area. Wings has been also tested with an LA site with 3,971 ruptures and 97,228 variations of ruptures. The number of files in the workflow we have represented was 117,379 and the number of knowledge base objects (OWL individuals) created for the workflow was over two million.

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Research

At the core of the WINGS architecture is a workflow generation and validation algorithm that propagates component and dataset constraints throughout the structure of the workflow. This algorithm and its underlying reasoning are at the core of our research.

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Publications

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Demo


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People

Group Members: Alumni and Former Members: Collaborators:

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Funding

  • National Science Foundation (NSF)
  • National Science Foundation (NSF)
  • National Science Foundation (NSF)

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Links

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