X-Git-Url: https://gerrit.onap.org/r/gitweb?a=blobdiff_plain;f=docs%2Fdevelopment%2Fdevtools%2Fdrools-s3p.rst;h=bc8b79b3a36ac0cb0b1f922f2b5ce5e8ff942f83;hb=457d1d40a54adc30b3afdb7245a7d53828f6239c;hp=3082732f0a4698fc3115e916b53f28c409edc9cd;hpb=c9ff573b80ff08e1f3e4e6e020d8e060f47162c5;p=policy%2Fparent.git

diff --git a/docs/development/devtools/drools-s3p.rst b/docs/development/devtools/drools-s3p.rst
index 3082732f..bc8b79b3 100644
--- a/docs/development/devtools/drools-s3p.rst
+++ b/docs/development/devtools/drools-s3p.rst
@@ -10,3 +10,65 @@
 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:: images/s3p-drools-1.png
+.. image:: images/s3p-drools-2.png
+.. image:: images/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.