Hey Lukasz,
On Wednesday 02 Oct 2024 at 08:11:06 (+0100), Lukasz Luba wrote:
Hi Quentin and Vincent,
On 10/1/24 18:50, Quentin Perret wrote:
On Tuesday 01 Oct 2024 at 18:20:03 (+0200), Vincent Guittot wrote:
With commit 50181c0cff31 ("sched/pelt: Avoid underestimation of task
utilization"), the util_est remains set the value before having to
share the cpu with other tasks which means that the util_est remains
correct even if its util_avg decrease because of sharing the cpu with
other task. This has been done to cover the cases that you mention
above whereboth util_avg and util_est where decreasing when tasks
starts to share the CPU bandwidth with others
I don't think I agree about the correctness of that util_est value at
all. The above patch only makes it arbitrarily out of date in the truly
overcommitted case. All the util-based heuristic we have in the
scheduler are based around the assumption that the close future will
look like the recent past, so using an arbitrarily old util-est is still
incorrect. I can understand how this may work OK in RT-app or other
use-cases with perfectly periodic tasks for their entire lifetime and
such, but this doesn't work at all in the general case.
I remember that commit Vincent mentioned above. That was from a web
browser test 'Speedometer', not rt-app. The browser has to run the
same 'computation problem' but with quite a lot of JavaScript
frameworks. Those frameworks mainly run in the browser main thread,
with some helper threads in background.
So it was not purely RT-app or other perfectly periodic task.
Although, IIRC Vincent was able to build a model based on rt-app
to tackle that issue.
That patch helped to better reflect the situation in the OS.
Sure thing, I'm absolutely ready to believe that an old util-est value
will be better in certain use-cases, but again I don't think we should
conflate this for the general case. In particular a util-est that was
measured when the system was lightly loaded is absolutely not guaranteed
to be valid while it is overcommitted. Freshness matters in many cases.
For this particular _subject_ I don't think it's relevant, though.
It was actually helping to show that the situation is worse, so
closer to OU because the task was bigger (and we avoid EAS).
And feec() will return -1 for that case because util_est remains high
And again, checking that a task fits is broken to start with if we don't
know how big the task is. When we have reasons to believe that the util
values are no longer correct (and the absence of idle time is a very
good reason for that) we just need to give up on them. The fact that we
have to resort to using out-of-date data to sort of make that work is
just another proof that this is not a good idea in the general case.
the commit that I mentioned above covers those cases and the task will
not incorrectly fit to another smaller CPU because its util_est is
preserved during the overutilized phase
There are other reasons why a task may look like it fits, e.g. two tasks
coscheduled on a big CPU get 50% util each, then we migrate one away, the
CPU looks half empty. Is it half empty? We've got no way to tell until
we see idle time. The current util_avg and old util_est value are just
not helpful, they're both bad signals and we should just discard them.
So would you then reset them to 0? Or leave them as they are?
What about the other signals (cpu runqueue) which are derived from them?
That sounds like really heavy change or inconsistency in many places.
I would just leave them as they are, but not look at them, pretty much
like we do today. In the overcommitted case, load is a superior signal
because it accounts for runnable time and the task weights, so we really
ought to use that instead of util.
So again I do feel like the best way forward would be to change the
nature of the OU threshold to actually ask cpuidle 'when was the last
time there was idle time?' (or possibly cache that in the idle task
directly). And then based on that we can decide whether we want to enter
feec() and do util-based decision, or to kick the push-pull mechanism in
your other patches, things like that. That would solve/avoid the problem
I mentioned in the previous paragraph and make the OU detection more
robust. We could also consider using different thresholds in different
places to re-enable load-balancing earlier, and give up on feec() a bit
later to avoid messing the entire task placement when we're only
transiently OU because of misfit. But eventually, we really need to just
give up on util values altogether when we're really overcommitted, it's
really an invariant we need to keep.
IMHO the problem here with OU was amplified recently due to the
Uclamp_max setting
Ack.
'Max aggregation policy'
Ack.
aggressive frequency capping
What do you mean by that?
fast freq switching.
And not sure what fast switching has to do with the issue here?
Now we are in the situation where we complain about util metrics...
I've been warning Qais and Vincent that this usage of Uclamp_max
in such environment is dangerous and might explode.
I absolutely agree that uclamp max makes a huge mess of things, and util
in particular :-(
If one background task is capped hard in CPU freq, but does computation
'all the time' making that CPU to have no idle time - then IMO
this is not a good scheduling. This is a receipt for starvation.
You probably won't find any better metric.
I would suggest to stop making the OU situation worse and more
frequent with this 'artificial starvation with uclamp_max'.
I understand we want to safe energy, but uclamp_max in current shape
has too many side effects IMO.
Why we haven't invested in the 'Bandwidth controller', e.g. to make
it big.Little aware (if that could be a problem)(they were there for
many years)?
Bandwidth control is a different thing really, not sure it can be used
interchangeably with uclamp_max in general. Running all the time at low
frequency is often going to be better from a power perspective than
running uncapped for a fixed period of time.
I think the intention of uclamp max is really to say 'these tasks have
low QoS, use spare cycles at low-ish frequency to run them'. What we
found was that it was best to use cpu.shares in conjunction with
uclamp.max to implement the 'use spare cycles' part of the previous
statement, but that was its own can of worms and caused a lot of
priority inversion problems. Hopefully the proxy exec stuff will solve
that...