[VDSM] scalable sampling benchmark

------=_Part_15162470_1082431194.1406891220292 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit Hi everyone, here's the followup for http://lists.ovirt.org/pipermail/devel/2014-July/008332.html Platform setup (HW/SW/storage) is described here. Let's start with the RHEL 6.5 graphs, as I need to recheck how scalable_sampling behaves on RHEL7. These are the first graphs on 100 VMs, more will come for 200 and 400 VMs. What was tested here is the scalable_sampling branch considering * gerrit.ovirt.org/#/c/29980/13 (last version) * http://gerrit.ovirt.org/#/c/30751/1 was included find attached graphs for CPU and memory profiling. Some stats on RHEL 6.5: master cpu usage: samples% below average% 10% 25% 50% 75% libvirt 74.101 0.083 0.083 3.172 52.922 vdsm 44.211 3.506 33.556 70.618 84.641 total 30.504 0.000 9.599 99.750 100.000 scalable_sampling cpu usage: samples% below average% 10% 25% 50% 75% libvirt 58.835 0.000 0.591 28.270 86.160 vdsm 65.146 0.084 10.549 49.030 71.055 total 29.390 0.000 24.473 99.325 100.000 memory usage (RSS, mmegabytes), in numbers: average minimum maximum master 262 254 264 scalable_sampling 143 133 147 please bear in mind that MOM still uses one thread per VM. More data coming soon: * same for 200 VMs * same for 400 VMs * all of above on RHEL7.0 too -- Francesco Romani RedHat Engineering Virtualization R & D Phone: 8261328 IRC: fromani ------=_Part_15162470_1082431194.1406891220292 Content-Type: image/png; name=scalable_sampling_mem_65.png Content-Disposition: attachment; filename=scalable_sampling_mem_65.png Content-Transfer-Encoding: base64 iVBORw0KGgoAAAANSUhEUgAACWAAAATJCAYAAABTiS2IAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz AAAPYQAAD2EBqD+naQAAIABJREFUeJzs3XmUleV9B/DfHSAsEgguVUAQ6gooyIwb6BHjgoo6mlYd ClaDca1oNQhBjZacWA2KGpUaPRZD44JmsSiNoWoVhQpqZjCLOgUXTkQGLIpwKiIIt3/kOHU6KM7r xffOw+dzjkfnXe77ey7H7xHvl+cWisViMQAAAAAAAAAAAGixirwHAAAAAAAAAAAAaK0UsAAAAAAA AAAAADJSwAIAAAAAAAAAAMhIAQsAAAAAAAAAACAjBSwAAAAAAAAAAICMFLAAAAAAAAAAAAAyUsAC AAAAAAAAAADISAELAAAAAAAAAAAgIwUsAAAAAAAAAACAjBSwAAAAAAAAAAAAMlLAAgAAAAAAAAAA yEgBCwAAAAAAAAAAICMFLAAAAAAAAAAAgIwUsAAAAAAAAAAAADJSwAIAAAAAAAAAAMhIAQsAAAAA 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----- Original Message -----
From: "Francesco Romani" <fromani@redhat.com> To: devel@ovirt.org Sent: Friday, August 1, 2014 2:07:00 PM Subject: [ovirt-devel] [VDSM] scalable sampling benchmark
Hi everyone,
here's the followup for http://lists.ovirt.org/pipermail/devel/2014-July/008332.html
Platform setup (HW/SW/storage) is described here.
Let's start with the RHEL 6.5 graphs, as I need to recheck how scalable_sampling behaves on RHEL7. These are the first graphs on 100 VMs, more will come for 200 and 400 VMs.
What was tested here is the scalable_sampling branch considering * gerrit.ovirt.org/#/c/29980/13 (last version) * http://gerrit.ovirt.org/#/c/30751/1 was included
find attached graphs for CPU and memory profiling. Some stats on RHEL 6.5:
master cpu usage: samples% below average% 10% 25% 50% 75% libvirt 74.101 0.083 0.083 3.172 52.922 vdsm 44.211 3.506 33.556 70.618 84.641 total 30.504 0.000 9.599 99.750 100.000
scalable_sampling cpu usage:
samples% below average% 10% 25% 50% 75% libvirt 58.835 0.000 0.591 28.270 86.160
I wonder if we are using libvirt correctly - maybe our thread pool is too small, keeping tasks in our queue, instead of letting libvirt process them concurrently? Can you check the size of the libvirt thread pool, and increase our sampling pool to the same value?
vdsm 65.146 0.084 10.549 49.030 71.055
This looks 47% worse then the current code. We need a profile to understand why. Are you sure that we are doing the same amount of samplers in both cases? Did you compare the logs? Maybe we should create simpler standalone benchmark simulating what vdsm does, hopefully yappi will not crash using it, and if it does, the benchmark can be used by yappi developers to fix this.
total 29.390 0.000 24.473 99.325 100.000
memory usage (RSS, mmegabytes), in numbers:
average minimum maximum master 262 254 264 scalable_sampling 143 133 147
So this seems to save lot of memory, but cost in more cpu. I wonder if this is better - systems have huge amount of memory, but much limited cpus. Before 3.5, we were using gigabytes of memory for the remote file handlers on NFS (replaced by ioprocess), and I never heard anyone complaining about it, but we had lot of issues with excessive cpu usage. Lets see how this look with 200 vms and with rhel 7 or fedora. Nir

----- Original Message -----
From: "Nir Soffer" <nsoffer@redhat.com> To: "Francesco Romani" <fromani@redhat.com> Cc: devel@ovirt.org, "Michal Skrivanek" <mskrivan@redhat.com> Sent: Friday, August 1, 2014 3:10:08 PM Subject: Re: [ovirt-devel] [VDSM] scalable sampling benchmark
find attached graphs for CPU and memory profiling. Some stats on RHEL 6.5:
master cpu usage: samples% below average% 10% 25% 50% 75% libvirt 74.101 0.083 0.083 3.172 52.922 vdsm 44.211 3.506 33.556 70.618 84.641 total 30.504 0.000 9.599 99.750 100.000
scalable_sampling cpu usage:
samples% below average% 10% 25% 50% 75% libvirt 58.835 0.000 0.591 28.270 86.160
I wonder if we are using libvirt correctly - maybe our thread pool is too small, keeping tasks in our queue, instead of letting libvirt process them concurrently?
Can you check the size of the libvirt thread pool, and increase our sampling pool to the same value?
Will do.
vdsm 65.146 0.084 10.549 49.030 71.055
This looks 47% worse then the current code. We need a profile to understand why.
Are you sure that we are doing the same amount of samplers in both cases? Did you compare the logs?
I haven't yet did specific checks besides the code, but indeed this behaviour need a proper explanation, then I'll bump the priority of this task. Otherwise to run more benchs is close to useless. Will also figure out a way to cross-check the logs.
Maybe we should create simpler standalone benchmark simulating what vdsm does, hopefully yappi will not crash using it, and if it does, the benchmark can be used by yappi developers to fix this.
I agree this could be useful to ourselves also to improve our own code. If we go this way let's just sync up.
total 29.390 0.000 24.473 99.325 100.000
memory usage (RSS, mmegabytes), in numbers:
average minimum maximum master 262 254 264 scalable_sampling 143 133 147
So this seems to save lot of memory, but cost in more cpu. I wonder if this is better - systems have huge amount of memory, but much limited cpus.
Before 3.5, we were using gigabytes of memory for the remote file handlers on NFS (replaced by ioprocess), and I never heard anyone complaining about it, but we had lot of issues with excessive cpu usage.
IMHI better to optimize for CPU usage. The memory reduction makes sense considering we dropped ~100 threads. Bests, -- Francesco Romani RedHat Engineering Virtualization R & D Phone: 8261328 IRC: fromani

----- Original Message -----
From: "Francesco Romani" <fromani@redhat.com> To: "Nir Soffer" <nsoffer@redhat.com> Cc: devel@ovirt.org, "Michal Skrivanek" <mskrivan@redhat.com> Sent: Friday, August 1, 2014 4:23:25 PM Subject: Re: [ovirt-devel] [VDSM] scalable sampling benchmark
----- Original Message -----
From: "Nir Soffer" <nsoffer@redhat.com> To: "Francesco Romani" <fromani@redhat.com> Cc: devel@ovirt.org, "Michal Skrivanek" <mskrivan@redhat.com> Sent: Friday, August 1, 2014 3:10:08 PM Subject: Re: [ovirt-devel] [VDSM] scalable sampling benchmark
find attached graphs for CPU and memory profiling. Some stats on RHEL 6.5:
master cpu usage: samples% below average% 10% 25% 50% 75% libvirt 74.101 0.083 0.083 3.172 52.922 vdsm 44.211 3.506 33.556 70.618 84.641 total 30.504 0.000 9.599 99.750 100.000
scalable_sampling cpu usage:
samples% below average% 10% 25% 50% 75% libvirt 58.835 0.000 0.591 28.270 86.160
I wonder if we are using libvirt correctly - maybe our thread pool is too small, keeping tasks in our queue, instead of letting libvirt process them concurrently?
Can you check the size of the libvirt thread pool, and increase our sampling pool to the same value?
Will do.
vdsm 65.146 0.084 10.549 49.030 71.055
This looks 47% worse then the current code. We need a profile to understand why.
Are you sure that we are doing the same amount of samplers in both cases? Did you compare the logs?
I haven't yet did specific checks besides the code, but indeed this behaviour need a proper explanation, then I'll bump the priority of this task. Otherwise to run more benchs is close to useless.
It is not useless, maybe 200 vms case will give better results compared with current code.
participants (2)
-
Francesco Romani
-
Nir Soffer