On Fri, Mar 7, 2014 at 7:10 AM, Sage Weil <[email protected]> wrote:
> On Fri, 7 Mar 2014, Dan van der Ster wrote:
>> On Thu, Mar 6, 2014 at 9:30 PM, Sage Weil <[email protected]> wrote:
>> > Sheldon just
>> > pointed out a talk from ATC that discusses the basic problem:
>> >
>> >         
>> > https://www.usenix.org/conference/atc13/technical-sessions/presentation/cidon
>> >
>> > The situation with CRUSH is slightly better, I think, because the number
>> > of peers for a given OSD in a large cluster is bounded (pg_num /
>> > num_osds), but I think we may still be able improve things.
>>
>> I'm surprised they didn't cite Ceph -- aren't copysets ~= placement groups?
>
> I think so (I didn't listen to the whole talk :).  My ears did perk up
> when Carlos (who was part of the original team at UCSC) asked the question
> about the CRUSH paper at the end, though. :)
>
> Anyway, now I'm thinking that this *is* really just all about tuning
> pg_num/pgp_num.  And of course managing failure domains in the CRUSH map
> as best we can to align placement with expected sources of correlated
> failure.  But again, I would appreciate any confirmation from others'
> intuitions or (better yet) a proper mathematical model.  This bit of my
> brain is full of cobwebs, and wasn't particularly strong here to begin
> with.

Well, yes and no. They're constraining data sharing in order to reduce
the probability of any given data loss event, and we can reduce data
sharing by reducing the pgp_num. But the example you cited was "place
all copies in the top third of the selected racks", and that's a
little different because it means they can independently scale the
data sharing *within* that grouping to maintain a good data balance,
which CRUSH would have trouble with.
Unfortunately my intuition around probability and stats isn't much
good, so that's about as far as I can take this effectively. ;)
-Greg
Software Engineer #42 @ http://inktank.com | http://ceph.com
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