On 12/06/16 10:56, Anonim Stefan wrote:
Hi,
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.
This is what I measure for each request, inside the benchmark block:
- app_python processing (some euclidian distance based on a dlg_var
input) -> same for all requests
- uac_req_send() OPTIONS -> same for all requests
I am running SIPp tests for 1000 calls with 1,10,50,100,150,200 calls
per second.
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 ?!
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.
Cheers,
Daniel
--
Daniel-Constantin Mierla
http://www.asipto.com -
http://www.kamailio.org
http://twitter.com/#!/miconda -
http://www.linkedin.com/in/miconda