Scientific Process Automation and . . . (2009)
BibTeX
@MISC{Ludäscher09scientificprocess,
author = {Bertram Ludäscher and Ilkay Altintas and Shawn Bowers and Julian Cummings and Terence Critchlow and Ewa Deelman and David De Roure and Juliana Freire and Carole Goble and Matthew Jones and Scott Klasky and Timothy McPhillips and Norbert Podhorszki and Claudio Silva and Ian Taylor and Mladen Vouk},
title = {Scientific Process Automation and . . . },
year = {2009}
}
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Abstract
We introduce and describe scientific workflows, i.e., executable descriptions of automatable scientific processes such as computational science simulations and data analyses. Scientific workflows are often expressed in terms of tasks and their (dataflow) dependencies. This chapter first provides an overview of the characteristic features of scientific workflows and outlines their life cycle. A detailed case study highlights workflow challenges and solutions in simulation management. We then provide a brief overview of how some concrete systems support the various phases of the workflow life cycle, i.e., design, resource management, execution, and provenance management. We conclude with a discussion on communitybased workflow sharing.
