eugen at leitl.org
Tue Nov 27 06:40:29 PST 2012
On Tue, Nov 27, 2012 at 03:01:57PM +0100, Jonathan Aquilina wrote:
> One thing that really caught my eye was seamicros new storage servers up to
> 5 petabytes of storage
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The Seamicro is not the same thing, since I would be
looking at least for an Exynos 5 with 1-2 GByte
RAM and some GByte flash for each SATA spindle.
You would not just run a distributed filesystem
or even a database, but to process code locally
that uses 1-3 TByte worth of data on said spindle,
with some SSD/RAM caching. If you're moving a
sliding window across a 3d voxelset where you
do some processing, then you would likely to
be able to stream at 100-200 MByte/s, and
process your TByte/node data within nongeological
time spans. There would be very little traffic on
the GBit port, as you would only query adjacent
nodes when you need to get a slice at the surface
of the cube.
In principle this would map very well to a 3d torus,
but GBit Ethernet for many 10 k nodes is reasonably
> On Tue, Nov 27, 2012 at 2:59 PM, Eugen Leitl <eugen at leitl.org> wrote:
> > On Tue, Nov 27, 2012 at 09:10:32AM +0100, Jonathan Aquilina wrote:
> > > Hey guys I was looking at the hadoop page and it got me wondering. is it
> > > possible to cluster together storage servers? If so how efficient would a
> > > cluster of them be?
> > An interesting problem would be to use reasonably powerful but
> > cheap ARM SoCs in few GBytes onboard RAM and some flash
> > for hybrid filesystems for each hard drive, and cluster
> > them via GBit Ethernet on a very large scale.
> > That would be a custom Beowulf for more storage-related
> > tasks. E.g. an application I have in mind are volumetric
> > datasets with e.g. 8 nm - voxels for biological systems,
> > which are way too large to process in memory.
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> Jonathan Aquilina
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