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ChemIT currently does not have plans nor resources to invest in R&D or consulting services to help CCB researchers evaluate or utilize the power of cloud computing for research. However, this page can raise awareness of these new services' potential to advance CCB computing, cost-effectively. |
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See also
- Restricted: Two CU researchers' Cloud case-studies (Cornell NetID required; cited below, too)
- Ramping up and down cloud services to save money
- Cornell's own CAC’s RedCloud:
- http://cloudcomputing.cornell.edu/Research.php (added 3/20/15)
- This is sponsored by the Computer Science department. (Not tied to CIT or CAC.)
- http://itnews.cornell.edu/cloudification-services-will-offer-ramp-cloud-infrastructure (3/13/15 CIT article)
- A Cornell IT manager peer shared this nice digestible interview/talk with one of his favorite experts talking about cloud and IT for life sciences:
- Note: Cross-posted in Yammer, <http://www.it.cornell.edu/services/yammer/>.
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February 26, 2014: Ultimate cloud speed tests: Amazon vs. Google vs. Windows Azure
A diverse set of real-world Java benchmarks shows Google is fastest, Azure is slowest, and Amazon is priciest.
Vendor links
Links to vendors not linked in any of the above analysis sections.
http://research.microsoft.com/en-us/projects/azure/
The Microsoft Azure for Research project facilitates and accelerates scholarly and scientific research by enabling researchers to use the power of Microsoft Azure to perform big data computations in the cloud. Take full advantage of the power and scalability of cloud computing for collaboration, computation, and data-intensive processing. Microsoft Azure is an open platform that supports languages, tools, or frameworks, such as Linux [...].
http://research.microsoft.com/en-us/projects/azure/technical-papers.aspx
The information in these papers can be used by Windows, Linux, and Mac users. If you have attended the Microsoft Azure for Research training, have received an award through the RFP program, or are just curious about Microsoft Azure, we believe you will find this content useful. The papers do assume some prior technical computer programming skills, such as Python, Matlab, and basic scripting.
Other
Roger's thoughts, from 7/30/14:
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