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Cloud performance

Issues/Gaps

Data Sharing Options for Scientific Workflows on Amazon EC2 ⁵

Summary

Workflow

Data

Cloud platform

Cloud performance

Issues/Gaps

Using MapReduce for Image Coaddition ⁶

Summary

Workflow

Data

Cloud platform

Cloud performance

Issues/Gaps

CANFAR: Canadian Advanced Network for Astronomical Research ⁷

Summary

Workflow

Data

Cloud platform

Cloud performance

Issues/Gaps

A Multi-Dimensional Classification model for Scientifc workflow Characteristics ⁸

Summary

Workflow

Data

Cloud platform

Cloud performance

Issues/Gaps

Trident Scientific Workflow Workbench for Data Management in the cloud ⁹

Summary

Workflow

Data

Cloud platform

Cloud performance

Issues/Gaps

On the use of cloud computing for scientific workflows ¹⁰

Summary

Workflow

Data

Cloud platform

Cloud performance

Issues/Gaps

Experiences using cloud computing for a scientific workflow application ¹¹

Summary

Workflow

Data

Cloud platform

Cloud performance

Issues/Gaps

References

1. Berriman, G.B. et al. Sixth IEEE International Conference on e-Science, 1-7 (2010)
2. Jackson, K.R. et al. Proc. ACM Int. Symp. HPDC, 421-429 (2010)
3. Berriman, G.B. et al. SPIE Conference 7740: Software and Cyberinfrastructure for Astronomy (2010)
4. Juve, G. et al. Cloud Computing Workshop in Conjunction with e-Science Oxford, UK: IEEE (2009)
5. Juve, G. et al. SC(2010)
6. Wiley, K. et al. Publications of the Astronomical Society of the Pacific 123 366-380 (2011)
7. Gaudet, S. et al. Proc SPIE (2010)
8. Ramakrishnan, L. et al. Wands '10 (2010)
9. Simmhan, Y. et al. ADVCOMP 09' (2009)
10. Hoffa, C. et al. ESCIENCE 08' (2008)
11. Vockler, J. et al. ScienceCloud '11 (2011)

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