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authoradheli.tavares <adheli.tavares@est.tech>2023-04-04 16:29:21 +0100
committerLiam Fallon <liam.fallon@est.tech>2023-04-12 08:35:20 +0000
commitcf2686107161c40c5e39ad6f3b3f488b3ae7be4e (patch)
treec1d2a1e0d4a78ed982eaa639bc6b650dd82afd0b /docs/development/devtools/testing/s3p/drools-s3p.rst
parent68b623b0f38d9f8aa0785d2924d6bda06dac258b (diff)
Restructure devtools folder
- s3p tests documentation Issue-ID: POLICY-4583 Change-Id: I81fe30f4c083579263db0b9e663953bdc3ecb643 Signed-off-by: adheli.tavares <adheli.tavares@est.tech>
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+.. This work is licensed under a
+.. Creative Commons Attribution 4.0 International License.
+.. http://creativecommons.org/licenses/by/4.0
+
+.. _drools-s3p-label:
+
+.. toctree::
+ :maxdepth: 2
+
+Policy Drools PDP component
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+Both the Performance and the Stability tests were executed against an ONAP installation in the Policy tenant
+in the UNH lab, from the admin VM running the jmeter tool to inject the load.
+
+General Setup
+*************
+
+Agent VMs in this lab have the following configuration:
+
+- 16GB RAM
+- 8 VCPU
+
+Jmeter is run from the admin VM.
+
+The drools-pdp container uses the JVM memory and CPU settings from the default OOM installation.
+
+Other ONAP components exercised during the stability tests were:
+
+- Policy XACML PDP to process guard queries for each transaction.
+- DMaaP to carry PDP-D and jmeter initiated traffic to complete transactions.
+- 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.
+
+- SDNR.
+
+Stability Test of Policy PDP-D
+******************************
+
+PDP-D performance
+=================
+
+The tests focused on the following use cases running in parallel:
+
+- vCPE
+- SON O1
+- SON A1
+
+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:: drools-s3p-results/s3p-drools-1.png
+.. image:: drools-s3p-results/s3p-drools-2.png
+.. image:: drools-s3p-results/s3p-drools-3.png
+
+
+Commentary
+==========
+
+There is around 1% unexpected failures during the 72-hour run. This can also be seen in the
+final output of jmeter:
+
+.. code-block:: bash
+
+ 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.