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
Publication metrics
PlumX, opens in new tab
Captures
21
Citations
23
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.
Bibliographic Information
Output type
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
Original language
EnglishPages 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
ISBN (Print)
3540694765, 9783540694762Publication IDs
- Scopus: 49049097130
