Hello Chris,
Thank you for your advice. I will be setting up an external MySQL db. After
conversing with my sysadmin, I'm going to run it on 64-bit Ubuntu with 2cpus
and 4GB RAM, which, based on what you posted, sounds like it will be more than
enough for my testing needs.
Thanks again,
Josh
>>> Chris Wilper <[email protected]> 2/18/2011 11:41 AM >>>
Hi Joshua,
For testing purposes, Fedora can run on fairly minimal hardware/VMs.
I don't have an absolute minimum for you, but I can say that we
routinely run system tests on small EC2 VMs (1.7GB memory, with the
equivalent of a single 1.0-1.2 GHz 2007 Opteron or 2007 Xeon
processor) running 32-bit Ubuntu.
If you're planning for a test host where performance isn't a big
concern, I think something similar should be fine. If you're planning
to run an external database (like postgresql or mysql, as opposed to
the bundled derby database), a little extra memory would be good.
- Chris
On Wed, Feb 16, 2011 at 11:26 AM, Joshua Gomez <[email protected]> wrote:
> I am new to Fedora and am planning on setting up a test environment for
> Fedora. I asked my sysadmin to set up a new virtual server for me. He then
> asked me how many CPUs I needed, how much RAM and how much storage. Any
> thoughts from this list on a decent set up for a test environment?
>
> My main objective is to run a couple pilot projects for research data set
> curation. I am hoping to work on fairly small data sets so I am thinking
> 100GB of storage should be more than enough for now. However, I don't know
> what the minimum levels of processing power and memory are to run Fedora
> smoothly.
>
> Thanks in advance for your input,
> Josh
>
>
>
> Joshua Gomez
> Digital Library Programmer Analyst
> Gelman Library
> George Washington University
> (202) 994-8267
> ------------------------------------------------------------------------------
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The ultimate all-in-one performance toolkit: Intel(R) Parallel Studio XE:
Pinpoint memory and threading errors before they happen.
Find and fix more than 250 security defects in the development cycle.
Locate bottlenecks in serial and parallel code that limit performance.
http://p.sf.net/sfu/intel-dev2devfeb
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