From mboxrd@z Thu Jan  1 00:00:00 1970
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Date: Fri, 10 Aug 2012 23:38:45 +0200
From: Ole Kliemann <ole@plastictree.net>
To: selinux@tycho.nsa.gov
Cc: Stephen Smalley <sds@tycho.nsa.gov>
Subject: Re: SELinux performance depending on type count
Message-ID: <20120810213845.GQ2296@telvanni>
References: <20120807130244.GE2085@telvanni>
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On Tue, Aug 07, 2012 at 03:02:44PM +0200, Ole Kliemann wrote:
> And would it be better performance-wise to run a MCS-policy with=20
> say categories c0.cn than to have types c0_t, ... cn_t?

I can measure a performance impact here too using a test analog=20
to the one used to measure the attribute-spam.

With 10000 categories:

I reside in system_u:system_r:unconfined_t:s0.
I run the script. Average walltime is about 6.67sec.


$ runcon -l s0:c0.c9999

Now I'm system_u:system_r:unconfined_t:s0:c0.c9999.
I rerun the script. Average walltime is about 39sec.

Ouch! :-/


$ runcon -l s0:c0.c999
Now I'm system_u:system_r:unconfined_t:s0:c0.c999.
I rerun the script. Average walltime is about 7.89sec.


With 1000 categories:

system_u:system_r:unconfined_t:s0               6.53sec
system_u:system_r:unconfined_t:s0:c0.c9         6.63sec
system_u:system_r:unconfined_t:s0:c0.c99        6.73sec
system_u:system_r:unconfined_t:s0:c0.c999       7.89sec

That's almost 19% increase still at full range!


But several points:

It's different than with attribute-spam. There is no lag, no=20
CPU spikes in kworker threads. It's just a smooth increase in=20
runtime, even at 10k.=20

It only matters in what range you run. You seldom will be running=20
something in the full range. The results for c0.c9 will be the=20
most realistic for everyday usage. There is no big difference=20
measurable. (At this point variance comes into play, would need=20
bigger data base to say something.)

The test script is kind of far away from everyday usage.=20


So bottom line is: Unless one goes berserk with 10k running in=20
full range, this looks like no problem.


I attached both versions.

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