Hi, I just wanted to point out this paper in case y'all have not seen it:
http://ged.msu.edu/papers/2012-diginorm/ In particular see here for instructions on running the code yourself, on Amazon's web services: http://ged.msu.edu/angus/diginorm-2012/pipeline-notes.html The short story is that the Amazon virtual machine images and public data storage allow you to run the exact analysis used for the figures in the paper. Starcluster [1] and the IPython notebook and parallel machinery [2] makes it much easier to use Amazon clusters for this purpose. According to the author, setting this up was relatively easy: http://ivory.idyll.org/blog/apr-12/replication-i.html My question was - what implication does this have for sites dedicated to data storage? Is practical data storage going to have to live in the same network as the cloud CPUs on which we run the analysis? And will the data storage have to include virtual machine images? Thanks for any thoughts, Matthew [1] STAR: Cluster - http://web.mit.edu/star/cluster/ [2] IPython - http://ipython.org/ _______________________________________________ okfn-discuss mailing list [email protected] http://lists.okfn.org/mailman/listinfo/okfn-discuss
