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Flexible scientific workflow modeling using frames, templates, and dynamic embedding

  • Anne H.H. Ngu
    ,
  • ,
  • Nicholas Haasch
    ,
  • Timothy McPhillips
    ,
  • Terence Critchlow
  • Texas State University
    ,
  • Genome Center
    ,
  • University of California, Davis
    ,
  • Pacific Northwest Laboratory
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

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Abstract

While most scientific workflows systems are based on dataflow, some amount of control-flow modeling is often necessary for engineering fault-tolerant, robust, and adaptive workflows. However, control-flow modeling within dataflow often results in workflow specifications that are hard to comprehend, reuse, and maintain. We describe new modeling constructs to address these issues that provide a structured approach for modeling control-flow within scientific workflows, and discuss their implementation within the Kepler scientific workflow system.

Publication metrics

PlumX, opens in new tab

Captures
21
Citations
23

Bibliographic Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution

Original language

English

Pages from-to (Number of pages)

Pages 566-572 (7 pages)

Publication milestones

  • Published - 2008

Publication status

Published - 2008

Publication series

  • Publication series name: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    ISSN (Print): 0302-9743
    ISSN (Electronic): 1611-3349
    Volume: 5069 LNCS
3540694765, 9783540694762

Publication IDs

  • Scopus: 49049097130

Host publication title

Scientific and Statistical Database Management - 20th International Conference, SSDBM 2008, Proceedings