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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. |
Cornell "case study", using Amazon's Web Service (AWS)
The "case study" cited here contains examples of innovative use of cloud-based infrastructure for provisioning research-based computing power similar to what CCB researchers get by investing in high-performance computers and clusters.
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In addition to Amazon, services and providers in this space include Cornell's own CAC’s RedCloud, as well as Google Compute Engine and Microsoft Azure.
Articles
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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.
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Other
Roger's thoughts, from 7/30/14:
- I think cloud clustering has lots of potential for getting computations done quickly, or without permanent systems. (surge)
- I believe it will take fair amount of development & learning time (which we currently don't have much of). A working example would be useful.
- The above cited Cornell researcher's "case study" is somewhat informative to IT-type folks such as us, but on the technical side. It is non-specific regarding costs, effort, results, or comparing to physical system costs.
- Suggestions for making this "case study" more useful to our managers and researchers:
- Create a summary of the case study.
- Put together some numbers to allow comparison of this example and Chemistry's research computing needs and current practices.