2008 IEEE Fourth International Conference on eScience (2008)
Dec. 7, 2008 to Dec. 12, 2008
Scientific workflows have become an archetype to model in silico experiments in the Cloud by scientists. There is a class of workflows that are used to by "data valets" to prepare raw data from scientific instruments into a science-ready form for use by scientists. These share data-intensive traits with traditional scientific workflows, yet differ significantly, for example, in the required degree of reliability and the type of provenance collected. We compare and contrast Science Application and Data Valet workflows through exemplar eScience projects to drive shared and unique requirements for scientific workflows across diverse users in a Science Cloud.
scientific workflow frameworks, cloud computing, data management, eScience
Alex Szalay, Yogesh Simmhan, Roger Barga, Catharine van Ingen, Ed Lazowska, "On Building Scientific Workflow Systems for Data Management in the Cloud", 2008 IEEE Fourth International Conference on eScience, vol. 00, no. , pp. 434-435, 2008, doi:10.1109/eScience.2008.150