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Overview
Summary
Workflow
Data
Issues/Gaps
Running Coupled Atmosphere-Ocean Climate Models on Amazon's EC2 1
Summary
Workflow
- A parallel scientific HPC application for Coupled Atmosphere-Ocean climate modeling is tested on Amazon EC2 platform.
Data
Amazon EC2
Issues/Gaps
Using a cloud to replenish parched groundwater modeling efforts 2
Summary
Workflow
Data
Issues/Gaps
Measured Characteristics of FutureGrid Clouds for Scalable Collaborative Sensor-Centric Grid Applications 3
Summary
Workflow
Data
Issues/Gaps
Case study for running HPC applications in public clouds 4
Summary
Workflow
Data
Issues/Gaps
Finding Tropical Cyclones on a cloud computing cluster 5
Summary
Workflow
Data
Issues/Gaps
Summary
Workflow
Data
Issues/Gaps
Eye on Earth with Azure 7
Summary
Workflow
Data
Issues/Gaps
References
- Evangelinos, C. et al. Cloud Computing and Its Application Chicago (2008)
- Hunt, R.J. et al. Ground water 48 3, 360-365 (2010)
- Fox, G. et al. CTS (2011)
- He, Q. et al. HPDC (2010)
- Hasenkamp, D. et al. CloudCom (2010)
- Pajorova, E. et al. Lecture Notes in Computer Science (2011)
- Eye on Earth built on Azure