[open-bibliography] Fwd: [okfn-discuss] Practical reproducible science; implications for data storage
naomi.lillie at okfn.org
Wed Apr 11 09:29:38 BST 2012
May be of interest:
---------- Forwarded message ----------
On Wed, Apr 11, 2012 at 12:15 AM, Matthew Brett <matthew.brett at gmail.com>wrote:
> I just wanted to point out this paper in case y'all have not seen it:
> In particular see here for instructions on running the code yourself,
> on Amazon's web services:
> 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  and the IPython notebook and parallel machinery 
> makes it much easier to use Amazon clusters for this purpose.
> According to the author, setting this up was relatively easy:
> 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,
>  STAR: Cluster - http://web.mit.edu/star/cluster/
>  IPython - http://ipython.org/
> okfn-discuss mailing list
> okfn-discuss at lists.okfn.org
From: Nicholas Roberts <nicholas at themediasociety.org>
Date: 11 April 2012 08:38
Subject: Re: [okfn-discuss] Practical reproducible science; implications
for data storage
To: Open Knowledge Foundation discussion list <okfn-discuss at lists.okfn.org>
Cc: open-science <open-science at lists.okfn.org>
I wonder if its possible to get these AMI's running on a private or hybrid
local cloud service ?
this makes me think it is.. ..
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