So that's part of scheduling; but likely only a part of it; it depends
on the matrix of resources you want to schedule on (just compute node
targets, or compute nodes + network resources or ...)
If u want, looking at how the filter scheduler works in nova is a good
start.
https://github.com/openstack/nova/blob/master/nova/scheduler/filter_scheduler.py
(prob. also read the new stuff around placement and claims and ...)
There has been other attempts at using constraint systems for this:
https://github.com/openstack/nova-solver-scheduler
https://review.openstack.org/#/c/210549/ was something I started a while
ago (read for reference if you want).
IMHO there is a lot of research potential and experiments that can be
ran, especially if you start to decrease the delay between 'actual
resource set available' (what is really being used) and 'predicted
resource set available' (ie what the scheduler knows about) [note there
there is a eventual consistency problem here].
I'm sure there are bunches of other papers available to, including
various ones from google borg and ...
So ya, imho a pretty 'fresh' area for things to be messed with...
Felix Fischer wrote:
Am 2017-12-01 01:51, schrieb Joshua Harlow:
Felix Fischer wrote:
Hey Folks,
I'm Felix and I'm looking for a topic for my master's thesis in computer
science. I studied at the Humboldt University of Berlin and currently
I'm working as an OpenStack consultant. I was hoping some of you could
point me to areas or even specific topics related to OpenStack which
need further scientific research. My topic needs to be about a
scientific research question and cannot be a programming task or
something similar to that. Maybe some of you have a problem for me which
needs solving or can point me directions where to look at or who to ask?
Do you like scheduling problems (research and practical), because
there are a lot of them? :)
By scheduling problems you mean "decide on which compute node to create
a new instance"
then yes :-) That was the direction my co-workers pointed me to, as well.
Do you have any further information or papers to read?
Thank you in advance and kind regards,
Felix Fischer
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