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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/>.
Chemistry "case study" of a web server, hosted using Amazon's Web Service (AWS)
- September 2016: CIT successfully packaged old NMR Scheduler's Python code and text files and moved it to contemporary OS and web server software running on AWS. They had been running on an old, not patched or maintained, Linux and Apache public web server.
- Automatic monthly billing via internal Cornell KFS. Over the past week (9/9/16), the NMR Scheduler AWS resources cost about $0.20/day Expect to see this rise a little when we release it. Still CIT folks would be very surprised if it was more than $0.50/day all told.
- For 365 days/ year, that comes out to ~$73-183/year for a patched and otherwise maintained Linux and Apache public web server running custom, old Perl scripts. And one easily replicated, if necessary.
- AWS Standard Tagging
Cornell "case study", using Amazon's Web Service (AWS)
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N.B. Other academic departments in A&S which could benefit from cloud computing, per Frank Strickland (3/20/15), include Linguistics, Anthropology, Psychology, and Econ. Some of these are listed in the DNSDB entry for Cornell's cloud computing research hub.
- Restricted: Two CU researchers' Cloud case-studies (Cornell NetID required)
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Offering | Core count compared (performance, though?) | RAM (FWIW) | Cost | Cost comparison |
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ChemIT | 48 cores (6 cores/ proc. * | 32-64GB, usually | $10,000 total hardware (~$2,600/computer * | $2,500/ yr (Assumes last 4 years, 3 of which are under warranty) Lots of local IT labor costs. (Maybe $10K/ yr, at least for first set of 4?) |
Google Compute | 32 cores (8 cores/ computer * | 30GB | $1,132.10 per month. (Used Google Compute's calculator, | $13,585.20/ yr No local IT labor costs. |
Google Compute: More cores and RAM | 64 cores (16 cores/ computer * | 60GB | $2,264.19 per month. (Used Google Compute's calculator, | $27,170.28/ yr No local IT labor costs. |
Google Compute: More cores, less RAM | 64 cores (16 cores/ computer * | 14.4GB | $1,423.21 per month. (Used Google Compute's calculator, | $17,078.52/ yr No local IT labor costs. |
Articles
http://www.theregister.co.uk/2016/02/15/nice_catch_amazon_bezos_buys_hpc_toolkit_from_italy/
- AWS already offers HPC-clusters-as-a-service. Once it beds in NICE, it will also have a fine way to make those clusters attack certain workloads. And once it is in that position, it will be in a position to take more of the HPC market and give yet another corner of on-premises kit market a kicking.
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