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Issue No. 04 - July/August (2008 vol. 25)
ISSN: 0740-7459
pp: 37-43
David Woollard , Jet Propulsion Laboratory
Nenad Medvidovic , University of Southern California
Yolanda Gil , University of Southern California
Chris A. Mattmann , Jet Propulsion Laboratory
ABSTRACT
Scientific workflows—models of computation that capture the orchestration of scientific codes to conduct in silico research—are gaining recognition as an attractive alternative to script-based orchestration. Even so, researchers developing scientific workflow technologies still face fundamental challenges, including developing the underlying science of scientific workflows. You can classify scientific-workflow environments according to three major phases of in silico research: discovery, production, and distribution. On the basis of this classification, scientists can make more-informed decisions regarding the adoption of particular workflow environments.
INDEX TERMS
workflow management, programming environments and construction tools, software construction
CITATION
David Woollard, Nenad Medvidovic, Yolanda Gil, Chris A. Mattmann, "Scientific Software as Workflows: From Discovery to Distribution", IEEE Software, vol. 25, no. , pp. 37-43, July/August 2008, doi:10.1109/MS.2008.92
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