On May 9, 2012, at 17:46 , Michael Sumner wrote: > Barry, *fortunes* are very auspicious but you are already well represented.
"..as nebulous as cloud computing..", indeed! > Cheers, Mike. > > On Thu, May 10, 2012 at 1:38 AM, Whit Armstrong > <armstrong.w...@gmail.com> wrote: >> I don't work for Amazon, but here is one of their promo pieces on >> using 'spot' instances: >> http://youtu.be/WD9N73F3Fao >> >> at about 2:15, they cite University of Melbourne and Universitat de >> Barcelona as customers... >> >> My interest in all this cloud talk is that I'll be presenting a >> tutorial on R in the cloud at R/Finance. >> http://www.rinfinance.com/agenda/ >> >> It's really easy to use R in the cloud, even if you don't want to move >> your data into s3. >> >> -Whit >> >> >> >> On Wed, May 9, 2012 at 9:36 AM, Barry Rowlingson >> <b.rowling...@lancaster.ac.uk> wrote: >>> On Wed, May 9, 2012 at 2:22 PM, John Laing <john.la...@gmail.com> wrote: >>>> For 200,000 analyses at 1.5 seconds each, you're looking at ~83 hours >>>> of computing time. You can buy time from Amazon at roughly $0.08 / >>>> core / hour, so it would cost about $7 to run your analyses in the >>>> cloud. Assuming complete parallelization you could fire up as many >>>> machines as you need to get the work done in as little time as you >>>> want, with the same fixed cost. I think that's a pretty compelling >>>> argument, compared to the hassles of buying and maintaining hardware, >>>> power supply, air conditioning, etc. >>> >>> Noticing Hugh's .ac.uk email address you do have to factor in the >>> hassle of getting something as nebulous as cloud computing past the >>> red tape. "How much will it cost?" says the bureaucrat. "Depends how >>> much CPU time I need", says the academic. "So potentially, what's the >>> most?" says the bureaucrat. "Millions,", says the academic, honestly, >>> adding "but that would only be if my job scheduling went a bit mad and >>> grabbed a few thousand Amazon cores and thrashed them for weeks >>> without me noticing". "Okay", says the bureaucrat, "now, can we send >>> Amazon a purchase order so that Amazon send us an invoice for this >>> unknown and potentially unpredictable cost first?". "Oh no", says the >>> academic, "we need a credit card...". >>> >>> Maybe there are other ways of paying for Amazon cloud CPUs, I've not >>> investigated. Anyone in academia happily crunching on EC2? >>> >>> Barry >>> >>> ______________________________________________ >>> R-help@r-project.org mailing list >>> https://stat.ethz.ch/mailman/listinfo/r-help >>> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >>> and provide commented, minimal, self-contained, reproducible code. >> >> ______________________________________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-help >> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html >> and provide commented, minimal, self-contained, reproducible code. > > > > -- > Michael Sumner > Institute for Marine and Antarctic Studies, University of Tasmania > Hobart, Australia > e-mail: mdsum...@gmail.com > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
