Abstract
Workflow systems are used to model a range of scientific and business applications, each requiring a different set of capabilities. We analyze how these heterogeneous approaches can be resolved, look at how existing workflow systems address this and present the solution in Discovery Net, which combines three levels of workflows, control, data and grid, at different levels of abstraction. © Springer-Verlag Berlin Heidelberg 2007.
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Curcin, V., Ghanem, M., Wendel, P., & Guo, Y. (2007). Heterogeneous workflows in scientific workflow systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4489 LNCS, pp. 204–211). Springer Verlag. https://doi.org/10.1007/978-3-540-72588-6_36
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