LKML Archive on
help / color / mirror / Atom feed
* How about making oom_score_adj smarter?
@ 2021-08-26 15:10 Mikko Rantalainen
  0 siblings, 0 replies; only message in thread
From: Mikko Rantalainen @ 2021-08-26 15:10 UTC (permalink / raw)
  To: linux-kernel

[I don't subscribe LKML so I'd prefer being CC'd in replies.]

Whenever OOM Killer is activated, it selects the victim by calling
oom_badness() in oom_kill.c. The logic in this function basicallytakes
actual memory usage of a process and adds (total_memory_in_system *
(oom_score_adj / 1000)) as extra RSS usage for the process while trying
to figure out the correct victim.

This results in poor selections for positive oom_score_adj values when
system has lots of RAM because this is in practice just a static amount
of extra memory with no smarts of any kind. The oom_score_adj is
basically same as "static_extra_rss_for_oom_selection_in_weird_unit".

How about doing following instead?

New definition: oom_score_adj is a non-linear multiplier that scales the
badness score, but the special value 1000 means select every time (as
currently) and -1000 means never select. Other values change the weight
for the actually used memory when selecting the process to be killed to
free RAM. Value zero means that the actual memory usage is counted for
the given process, values below zero discount the memory usage with
-1000 counted as not using memory at all and -500 meaning only half of
the actual memory usage is accounted for. However, the positive values
have non-linear effect with higher values having more effect.

I'd suggest that the code

	/* Normalize to oom_score_adj units */
	adj *= totalpages / 1000;
	points += adj;

were replaced with

	/* Apply oom_score_adj as non-linear multiplier */
	if (adj >= 0)
		points *= 1.0 + adj * adj / 10000.0;
		points *= 1.0 + adj/1000.0;

This would change negative oom_score_adj values to represent linear
multiplier under zero (0 being no change, -100 meaning taking 10% off
from the actual badness, -900 meaning taking 90% off).

However on the positive side the behavior would be non-linear with
values closer to 0 having less effect and higher values resulting in
greater multipliers. The value 999 would result in badness multiplied by
100.8 but value 500 would result in multiplier 26 and value 100 would
result in multiplier 2 (logically +100% badness). I would assume that
having 100x multiplier for the memory usage would be good enough to
correctly volunteer processes to be killed when system is running out of

This would allow marking less important processes with high
oom_score_adj values without similar problems as currently. If such
process is well behaving and is using say 0.1% of the RAM, it doesn't
make sense to kill it even if it had oom_score_adj value of 800. With
current implementation such a process would get killed nearly every time.

For example, Google Chrome nowadays uses oom_score_adj value of 300 for
all non-critical child processes and those would get overcharged 9x
instead of current state where each process has static overcharged
overhead of 30% of the total system memory. With the above change Chrome
children would be charged according to real memory usage times 9 which
should result in correct child getting selected as victim more often.

If floating point math is not acceptable here, the above computation can
be re-ordered to avoid losing accuracy for oom_score_adj values close to

For example:

	if (adj >= 0)
		points += points * adj * adj / 10000;
		points += points * adj / 1000;

As an additional optimization, the divider could be replaced with a bit
shift in roughly similar scale. I don't know if points * adj * adj could
overflow with real world values.


^ permalink raw reply	[flat|nested] only message in thread

only message in thread, other threads:[~2021-08-26 15:19 UTC | newest]

Thread overview: (only message) (download: mbox.gz / follow: Atom feed)
-- links below jump to the message on this page --
2021-08-26 15:10 How about making oom_score_adj smarter? Mikko Rantalainen

This is a public inbox, see mirroring instructions
for how to clone and mirror all data and code used for this inbox;
as well as URLs for NNTP newsgroup(s).