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DILS
2006
Springer

Collection-Oriented Scientific Workflows for Integrating and Analyzing Biological Data

9 years 3 months ago
Collection-Oriented Scientific Workflows for Integrating and Analyzing Biological Data
Steps in scientific workflows often generate collections of results, causing the data flowing through workflows to become increasingly nested. Because conventional workflow components (or actors) typically operate on simple or application-specific data types, additional actors often are required to manage these nested data collections. As a result, conventional workflows become increasingly complex as data becomes more nested. This paper describes a new paradigm for developing scientific workflows that transparently manages nested data collections. Collection-oriented workflows have a number of advantages over conventional approaches including simpler workflow designs (e.g., requiring fewer actors and control-flow constructs) that are invariant under changes in data nesting. Our implementation within the KEPLER scientific workflow system enables the explicit representation of collections and collection schemas, concurrent operation over collection contents via multi-level pipeline para...
Timothy M. McPhillips, Shawn Bowers, Bertram Lud&a
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where DILS
Authors Timothy M. McPhillips, Shawn Bowers, Bertram Ludäscher
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