A cloud-enabled regional climate model evaluation system
Proceedings of the 2nd International Workshop on Software Engineering for Cloud Computing
Integrated data placement and task assignment for scientific workflows in clouds
Proceedings of the fourth international workshop on Data-intensive distributed computing
Middleware alternatives for storm surge predictions in Windows Azure
Proceedings of the 3rd workshop on Scientific Cloud Computing Date
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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.