When creating 3 guests on each of 2 other laptops that I run into the
same issues,so it seems that the main limitation is the number of
video/audio pods within a client. Is there anyway to get around that as
it implies that one annot have more than 4 or 5 guests with both video
and audio?
Dennis
On Sun, 2020-10-18 at 13:00 -0400, dww wrote:
> Yes I get the same result, however, this does not appear to be a
> valid
> stress test of kms. This stress tests a client machine with multiple
> tabs or browser windows each with connections and determines that it
> is
> CPU bound.
>
> It seems the only way to stress test kms is to do this with multiple
> client machines. I have 3 laptops here and a couple of smart phones
> so
> I will try distributing the client windows among all of them.
>
> Dennis
>
> On Sun, 2020-10-18 at 10:56 +0700, Maxim Solodovnik wrote:
> > I'm on Ubuntu 20.04 desktop? so i can use UI
> > if you are using server I would recommend `htop`
> >
> > On Sun, 18 Oct 2020 at 10:54, dww <dwort...@mykolab.com> wrote:
> > > May I ask for your linux command line that got the CPU percentage
> > > for all cores?
> > > thanks,
> > > Dennis
> > >
> > >
> > >
> > > On Sat, 2020-10-17 at 12:59 +0700, Maxim Solodovnik wrote:
> > > > Hello,
> > > >
> > > > i just have tried the following script
> > > > started as `./run10.sh 5`
> > > >
> > > > everything seems to work, but my CPU was 800% busy (all cores
> > > > were 100% busy)
> > > >
> > > > without `--use-fake-device-for-media-stream` parameter I had
> > > > lots
> > > > of permission errors due to camera was "captured" by first
> > > > browser
> > > > other have reported "Camera busy" error
> > > >
> > > >
> > > > _HASH_HERE_ - should be replaced with real hash (I have created
> > > > endless invitation hash to the private conference room)
> > > >
> > > > the script
> > > > ===============================================
> > > > #!/bin/bash
> > > >
> > > > i=$1
> > > >
> > > > if [ -z "${i}" ]; then
> > > > i=30
> > > > fi
> > > > let "i += 0"
> > > >
> > > > rm -rf /tmp/delme*
> > > >
> > > > while ((i--)); do
> > > > #echo "${i}"
> > > > mkdir /tmp/delme${i}
> > > >
> > > > #local conference
> > > > chromium-browser --user-data-dir=/tmp/delme${i} --disable-
> > > > infobars --no-default-browser-check --allow-insecure-localhost
> > > > --
> > > > use-fake-device-for-media-stream '
> > > > https://localhost:5443/openmeetings/hash?invitation=_HASH_HERE_&language=1'
> > > > &
> > > > done
> > > >
> > > > On Fri, 16 Oct 2020 at 09:10, dww <dwort...@mykolab.com> wrote:
> > > > > I mentioned earlier that I wanted to experiment with
> > > > > clustering
> > > > > using
> > > > > docker swarm for the kms service.
> > > > >
> > > > > I wanted to establish a base line using one container for
> > > > > kms.
> > > > > All the
> > > > > components are in one Linode with 8 GB of RAM.
> > > > >
> > > > > For this experiment. I start entering the video and
> > > > > whiteboard
> > > > > room
> > > > > from my admin login from Firefox on one laptop. I allowed
> > > > > both
> > > > > video
> > > > > and microphone and the video pod was the lowest resolution. I
> > > > > generate
> > > > > a guest url to the room.
> > > > >
> > > > > On another laptop also on the same connection to the internet
> > > > > I
> > > > > enter
> > > > > the room on firefox and allow both video ( lowest resolution)
> > > > > and
> > > > > microphone on a new tab each time.
> > > > >
> > > > > Up to 4 guest clients load quickly and the pods are created
> > > > > almost
> > > > > immediately on all 5 tabs. On the first attempt on the 5th
> > > > > guest the
> > > > > pod for this guest on the admin laptop took a couple of
> > > > > minutes
> > > > > to load
> > > > > the video. On the 5th guest tab, the pods for guest 1, 2 and
> > > > > 4
> > > > > would
> > > > > not refresh( pod frames present but no video.
> > > > >
> > > > > RAM and CPU usage was not significant on the server.
> > > > >
> > > > > I closed the tabs for all the guests and redid the
> > > > > experiment,
> > > > > The
> > > > > first 4 guests again loaded quickly without any issues. The
> > > > > 5th
> > > > > guest
> > > > > loaded to completion but took about 40 seconds for all 6 tabs
> > > > > to
> > > > > complete. On the 6th guest there were multiple connection
> > > > > drops
> > > > > and
> > > > > retries and the tabs were reduced to about 3 pods working,
> > > > > the
> > > > > others
> > > > > gone, this was on all tabs.
> > > > >
> > > > > So based on this it seems that up to 5 users using both video
> > > > > and
> > > > > microphone seem to work fine.
> > > > >
> > > > > Does this agree with anyone else's experience? I had from
> > > > > other
> > > > > posts
> > > > > that we can expect 14-15 users per kms instance. Does both
> > > > > laptop on
> > > > > the same network have any influence on this?
> > > > >
> > > > > I will try a swarm next after I gets some feedback.
> > > > >
> > > > >
