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Diffstat (limited to 'docs/development/devtools/drools-s3p.rst')
-rw-r--r-- | docs/development/devtools/drools-s3p.rst | 37 |
1 files changed, 10 insertions, 27 deletions
diff --git a/docs/development/devtools/drools-s3p.rst b/docs/development/devtools/drools-s3p.rst index 571e09a3..bc8b79b3 100644 --- a/docs/development/devtools/drools-s3p.rst +++ b/docs/development/devtools/drools-s3p.rst @@ -32,12 +32,11 @@ Other ONAP components exercised during the stability tests were: - Policy API to create (and delete at the end of the tests) policies for each scenario under test. - Policy PAP to deploy (and undeploy at the end of the tests) policies for each scenario under test. +- XACML PDP Stability test was running at the same time. The following components are simulated during the tests. -- SO actor for the vDNS use case. -- APPC responses for the vCPE and vFW use cases. -- AAI to answer queries for the use cases under test. +- SDNR. Stability Test of Policy PDP-D ****************************** @@ -45,30 +44,21 @@ Stability Test of Policy PDP-D PDP-D performance ================= -The tests focused on the following use cases: +The tests focused on the following use cases running in parallel: - vCPE -- vDNS -- vFirewall +- SON O1 +- SON A1 -For 72 hours the following 5 scenarios ran in parallel: - -- vCPE success scenario -- vDNS success scenario. -- vFirewall success scenario. -- vCPE failure scenario (simulates a failure scenario returned by simulated APPC recipient through DMaaP). -- vDNS failure scenario (simulates a failure by introducing in the DCAE ONSET a non-existent vserver-name reference). - -Five threads ran in parallel, one for each scenario, back to back with no pauses. The transactions were initiated -by each jmeter thread group. Each thread initiated a transaction, monitored the transaction, and -as soon as the transaction ending was detected, it initiated the next one. +Three threads ran in parallel, one for each scenario. The transactions were initiated +by each jmeter thread group. Each thread initiated a transaction, monitored the transaction, and +started the next one 250 ms. later. The results are illustrated on the following graphs: .. image:: images/s3p-drools-1.png .. image:: images/s3p-drools-2.png .. image:: images/s3p-drools-3.png -.. image:: images/s3p-drools-4.png Commentary @@ -79,13 +69,6 @@ final output of jmeter: .. code-block:: bash - summary = 37705505 in 72:00:56 = 145.4/s Avg: 30 Min: 0 Max: 20345 Err: 360852 (0.96%) - -The 1% errors were found to be related to the nature of the run, where each one of the 5 use case -threads run without pauses starting one after the other a new round of their assigned control loop. -It has been found that at times, the release time of the lock (which requires DB operations) outruns -the initiation of the next control loop (using the same resource), therefore the newly initiated control -loop fails. In reality, this scenario with the same resource being used back to back in consecutive control -loop rounds will be unlikely. - + summary = 4751546 in 72:00:37 = 18.3/s Avg: 150 Min: 0 Max: 15087 Err: 47891 (1.01%) +Sporadic database errors have been observed and seem related to the 1% failure percentage rate. |