Scientific workflow system

A scientific workflow system is a specialized form of a workflow management system designed specifically to compose and execute a series of computational or data manipulation steps, or workflow, in a scientific application.^[1] Scientific workflow systems are generally developed for use by scientists from different disciplines like astronomy, earth science, and bioinformatics. All such systems are based on an abstract representation of how a computation proceeds in the form of a directed graph, where each node represents a task to be executed and edges represent either data flow or execution dependencies between different tasks. Each system typically provides a visual front-end, allowing the user to build and modify complex applications with little or no programming expertise.^[2]^[3]^[4]

^ Sun, LiewChee; P, AtkinsonMalcolm; GaleaMichelle; Fong, AngTan; MartinPaul; Van, HemertJano I. (2016-12-12). "Scientific Workflows". ACM Computing Surveys. 49 (4): 1–39. doi:10.1145/3012429. hdl:20.500.11820/774ef69e-a499-4bd2-a609-09f050e682ae. S2CID 9408644.
^ Oinn, T.; Greenwood, M.; Addis, M.; Alpdemir, M. N.; Ferris, J.; Glover, K.; Goble, C.; Goderis, A.; Hull, D.; Marvin, D.; Li, P.; Lord, P.; Pocock, M. R.; Senger, M.; Stevens, R.; Wipat, A.; Wroe, C. (2006). "Taverna: Lessons in creating a workflow environment for the life sciences" (PDF). Concurrency and Computation: Practice and Experience. 18 (10): 1067–1100. doi:10.1002/cpe.993. S2CID 10219281.
^ Yu, J.; Buyya, R. (2005). "A taxonomy of scientific workflow systems for grid computing". ACM SIGMOD Record. 34 (3): 44. CiteSeerX 10.1.1.63.3176. doi:10.1145/1084805.1084814. S2CID 538714.
^ Curcin, V.; Ghanem, M. (2008). "Scientific workflow systems - can one size fit all?". 2008 Cairo International Biomedical Engineering Conference. pp. 1–9. doi:10.1109/CIBEC.2008.4786077. ISBN 978-1-4244-2694-2. S2CID 1885579.

[1] Sun, LiewChee; P, AtkinsonMalcolm; GaleaMichelle; Fong, AngTan; MartinPaul; Van, HemertJano I. (2016-12-12). "Scientific Workflows". ACM Computing Surveys. 49 (4): 1–39. doi:10.1145/3012429. hdl:20.500.11820/774ef69e-a499-4bd2-a609-09f050e682ae. S2CID 9408644.

[2] Oinn, T.; Greenwood, M.; Addis, M.; Alpdemir, M. N.; Ferris, J.; Glover, K.; Goble, C.; Goderis, A.; Hull, D.; Marvin, D.; Li, P.; Lord, P.; Pocock, M. R.; Senger, M.; Stevens, R.; Wipat, A.; Wroe, C. (2006). "Taverna: Lessons in creating a workflow environment for the life sciences" (PDF). Concurrency and Computation: Practice and Experience. 18 (10): 1067–1100. doi:10.1002/cpe.993. S2CID 10219281.

[3] Yu, J.; Buyya, R. (2005). "A taxonomy of scientific workflow systems for grid computing". ACM SIGMOD Record. 34 (3): 44. CiteSeerX 10.1.1.63.3176. doi:10.1145/1084805.1084814. S2CID 538714.

[CIBEC_2008-4] Curcin, V.; Ghanem, M. (2008). "Scientific workflow systems - can one size fit all?". 2008 Cairo International Biomedical Engineering Conference. pp. 1–9. doi:10.1109/CIBEC.2008.4786077. ISBN 978-1-4244-2694-2. S2CID 1885579.

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