Journal
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
Volume 25, Issue 5, Pages 541-551Publisher
ELSEVIER
DOI: 10.1016/j.future.2008.06.013
Keywords
Workflow; Collection; COMAD; Resilience; Desiderata; Provenance; Automatic optimization
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Recent years have seen a dramatic increase in research and development of scientific workflow systems. These systems promise to make scientists more productive by automating data-driven and compute-intensive analyses. Despite many early achievements, the long-term success of scientific workflow technology critically depends on making these systems useable by mere mortals, i.e., scientists who have a very good idea of the analysis methods they wish to assemble, but who are neither software developers nor scripting-language experts. With these users in mind, we identify a set of desiderata for scientific workflow systems crucial for enabling scientists to model and design the workflows they wish to automate themselves. As a first step towards meeting these requirements, we also show how the collection-oriented modeling and design (COMAD) approach for scientific workflows, implemented within the Kepler system, can help provide these critical, design-oriented capabilities to scientists. (C) 2008 Elsevier B.V. All rights reserved.
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