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.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 am running SIPp tests for 1000 calls with 1,10,50,100,150,200 calls per second.- uac_req_send() OPTIONS -> same for all requests- app_python processing (some euclidian distance based on a dlg_var input) -> same for all requestsHi,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:
-- Daniel-Constantin Mierla http://www.asipto.com - http://www.kamailio.org http://twitter.com/#!/miconda - http://www.linkedin.com/in/miconda