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<div class="moz-cite-prefix">On 12/06/16 10:56, Anonim Stefan wrote:<br>
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cite="mid:CAO7wsJtyNRc+aq8VGMRXoHYMTMf1=PrC5bJcG05A98LgWE=YOw@mail.gmail.com"
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<div>Hi,<br>
<br>
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I am doing some basic benchmarks with Kamailio. I am
using a VM with 1 CPU i7 2,50 GHz and Kamailio with
children=1.<br>
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This is what I measure for each request, inside the
benchmark block:<br>
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- app_python processing (some euclidian distance based
on a dlg_var input) -> same for all requests<br>
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- uac_req_send() OPTIONS -> same for all requests<br>
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I am running SIPp tests for 1000 calls with
1,10,50,100,150,200 calls per second.<br>
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What I see is that the Global average processing time per
request decreases with the increasing rate; I expected it to
increase with the increasing rate. Is there an explanation
for this, or am I doing something wrong ?!<br>
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I haven't looked at your scripts so far, but it could be the caching
done by OS or the python interpreter -- as there is higher rate, the
used pages of memory get hit often and not released to swap.<br>
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Cheers,<br>
Daniel<br>
<pre class="moz-signature" cols="72">--
Daniel-Constantin Mierla
<a class="moz-txt-link-freetext" href="http://www.asipto.com">http://www.asipto.com</a> - <a class="moz-txt-link-freetext" href="http://www.kamailio.org">http://www.kamailio.org</a>
<a class="moz-txt-link-freetext" href="http://twitter.com/#!/miconda">http://twitter.com/#!/miconda</a> - <a class="moz-txt-link-freetext" href="http://www.linkedin.com/in/miconda">http://www.linkedin.com/in/miconda</a></pre>
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