- "The whole is greater than the sum of its parts."
Seven strategic science use cases from intentionally diverse
disciplines–earth and atmospheric science, finance, chemistry, astronomy, civil engineering, genomics, and food
science–were selected to demonstrate the potential of a federated cloud in broadening cyberinfrastructure impact.
These use cases allowed us to explore data analysis techniques such as MapReduce, data stream processing, and machine learning and their applicability to different disciplines. We documented the tools, workflows, challenges, and best practices for each science case.
Learn more about the use case teams, rationale for using Aristotle, accomplishments, plans, and products.
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The Aristotle Cloud Federation was supported by NSF grant
ACI-1541215 and the Cornell University CAC
in partnership with the University at Buffalo CCR and the University of California, Santa Barbara Department of Computer Science.
© Cornell University |
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