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• image: onap/usecase-ui-server: 5.1.1
• image: onap/usecase-ui: 5.1.0

2. MSB Configuration

Register so-orchestrationTasks and so-serviceInstances interface to MSB.

Interface registration can be done through portal.

Steps(Portal):

Link: https://{{master server ip}}:30284/iui/microservices/default.html

 1.Select ‘Service Discover’ in the left pane

 2. Click 'Service Register' button.

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 3. Input the basic info as the picture shows(also refer to the registration info provided above)

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4. Click Add Host button.

    Input IP Address and Port then click the 'SAVE' button. （Use cmd ’kubectl get svc n onap|grep dl-des‘ to confirm IP and port.）

Deployment Prerequisite/dependencies for DCAE:

1. VES, PM mapper and DataFile Collector, dcae-mongodb, Datalake Extraction Service(DES) and Datalake-feeder services should be running.

3. DCAE-MONGO DB:

1. Login to dcae-mongodb container and execute following commands to check if PM data was saved in DB:
   1. mongo
   2. use datalake
   3. db.unauthenticatedperformancemeasurements.find({})

   4. to load sample data:

      Code Block
      title mongodb sample data 1 linenumbers true collapse true
      db.unauthenticatedperformancemeasurements.insert({ "event": { "commonEventHeader": { "domain": "perf3gpp", "eventId": "dfe43a5c-0868-4275-b1c9-e45945b6a38c", "eventName": "perf3gpp_CORE-cucpserver2_pmMeasResult", "lastEpochMicrosec": 1610689590387, "priority": "Normal", "reportingEntityName": "", "sequence": 1, "sourceName": "oteNB5309", "startEpochMicrosec": 1610689590387, "version": 4, "vesEventListenerVersion": "7.1", "timeZoneOffset": "UTC+05:00" }, "perf3gppFields": { "perf3gppFieldsVersion": "1.0", "measDataCollection": { "granularityPeriod": 900, "measuredEntityUserName": "", "measuredEntityDn": "cucpserver2", "measuredEntitySoftwareVersion": "r0.1", "measInfoList": [ { "measInfoId": { "sMeasTypesList": "SLICE" }, "measTypes": { "sMeasTypesList": [ "PDUSessionEstSR.00110010" ] }, "measValuesList": [ { "suspectFlag": false, "measResults": [ { "p": 1, "sValue": "166" } ] } ] } ] } } } })

      
      

      Code Block
      title mongodb sample data 2 linenumbers true collapse true
      db.unauthenticatedperformancemeasurements.insert({ "event": { "commonEventHeader": { "domain": "perf3gpp", "eventId": "df069b2e-0993-4aca-9e5e-60a11c6e3399", "eventName": "perf3gpp_CORE-cucpserver2_pmMeasResult", "lastEpochMicrosec": 1606743157915, "priority": "Normal", "reportingEntityName": "", "sequence": 1, "sourceName": "oteNB5309", "startEpochMicrosec": 1606743157914, "version": 4, "vesEventListenerVersion": "7.1", "timeZoneOffset": "UTC+05:00" }, "perf3gppFields": { "perf3gppFieldsVersion": "1.0", "measDataCollection": { "granularityPeriod": 900, "measuredEntityUserName": "", "measuredEntityDn": "cucpserver2", "measuredEntitySoftwareVersion": "r0.1", "measInfoList": [ { "measInfoId": { "sMeasTypesList": "SLICE" }, "measTypes": { "sMeasTypesList": [ "PDUSessionEstSR.00110010" ] }, "measValuesList": [ { "suspectFlag": false, "measResults": [ { "p": 1, "sValue": "188" } ] } ] } ] } } } })

      
      

4. Datalake Extraction Service(DES):

1. Build presto image and push the images to a exsting repository
   1. Download and extract presto package version v0.0.2: presto-v0.0.2.tar.gz
   2. docker build -t presto:v0.0.2 .
   3. docker tag presto:v0.0.2 registry.baidubce.com/onap/presto:v0.0.2
   4. docker push registry.baidubce.com/onap/presto:v0.0.2
   5. Note： Replace the repository path with your own repository.
2. Install presto service
   1. kubectl -n onap run dl-presto --image=presto:v0.0.2 --env="MongoDB_IP=dcae-mongohost" --env="MongoDB_PORT=27017" --image-pull-policy=IfNotPresent
   2. kubectl expose pod dl-presto --name=dl-presto --port=9000 --target-port=9000 --type=NodePort -n onap

3. Login to the dev-dcae-datalake-postgres-primary container and execute following sql commands:

   Code Block
   title datalake-db init_data linenumbers true collapse true
   psql -Udatalake -ddatalake \dt delete from map_db_topic; delete from map_db_design; delete from db; delete from data_exposure ; insert into db (id, db_type_id, enabled, encrypt, name,host,port,database_name) values (2, 'MONGO', true, true, 'MongoDB 1','dcae-mongohost',27017,'datalake'); insert into map_db_topic(db_id,topic_id) select db.id, topic.id from db_type, db, topic where db.db_type_id=db_type.id and db_type.tool=false; update kafka set secure=true, pass='admin_secret' where id=1; insert into topic_name (id) values ('unauthenticated.PERFORMANCE_MEASUREMENTS'); insert into data_exposure(id, note,sql_template,db_id) values ('pDUSessionEstSR','pm_message', 'SELECT event.perf3gppFields.measDataCollection.measInfoList[1].measValuesList[1].measResults[1].sValue AS pDUSessionEstSR, from_unixtime(event.commonEventHeader.startEpochMicrosec/1000) AS timeStamp FROM unauthenticatedperformancemeasurements WHERE any_match(event.perf3gppFields.measDataCollection.measInfoList[1].measTypes.sMeasTypesList, e -> e like ''${id}'') AND event.commonEventHeader.startEpochMicrosec >= ${timeStamp}',2);

   
   

4. Execute below request to verify: 

   curl --header "Content-type: application/json" --request POST --data '{"hours":4,"id":"PDUSessionEstSR.00110010","timeStamp":"1606743157914"}' http://dl-des:1681/datalake/v1/exposure/pDUSessionEstSR -i 

5. KPI - MS :

Deployment Prerequisite/dependencies
  - DCAE and DMaaP pods should be up and running. 
  - PM mapper service should be running.

...

 curl -k https://message-router.onap.svc.cluster.local:3905/events/unauthenticated.DCAE_KPI_OUTPUT/c1/g1

6. RANSIM :

Follow the steps below to setup the Ransim environment:

1. Clone the repo from : git clone https://gerrit.onap.org/r/integration/simulators/ran-simulator

2. Import the latest SDNC certificate into ransim

   1. Download the SDNC cacerts from browser.

   2. Import the cacert file into the directory ran-simulator/ransim/docker/config/ransim/ and name it as 'jssecacerts'.(Sample step to import shown below)

      • keytool -import -noprompt -trustcacerts -alias SDNC -file <certsfile> -keystore /ransim/docker/config/ransim/jssecacerts -storepass changeit

3. Go to the ran-simulator/ransim directory and build the project : JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64/ mvn clean install -P docker
4. From docker folder, run the following after building the image locally and updating the SDNR IP address in the docker-compose file : docker-compose up

5. Run the following command to start the RAN network slice simulation

   curl -X POST http://localhost:8081/ransim/api/StartRanSliceSimulation -i

   To access the logs:
   docker exec –ti ransim bash
   policy@ransim:/tmp/ransim-install$ tail -f /opt/app/policy/servers/ransim/logs/ransim-rest.log 
6. Setup honeycomb (Refer HONEYCOMB section)
7. You can update/add/delete data(throughput, PRBs, maxNoConns etc) in mariadb container(credentials in docker-compose file) if required before generation of PM data.
8. Sample data to be loaded: ransim-intelligent-slicing-data.txt
9. To view the CUCP honeycomb containers  logs:
   1. docker exec -ti cucpserver1 bash
   2. tail -f var/log/honeycomb/honeycomb.log
   3. docker exec -ti cucpserver2 bash
   4. tail -f var/log/honeycomb/honeycomb.log
10. Check the folder(where SFTP setup is done) to view the generated PM data files.
11. Access VES, data file collector, dmaap-dr, PM mapper, ml-prediction-ms and slice-analysis logs to verify.
12. To manually generate PM data:
    1. curl -X POST -H "Content-Type:  text/plain" http://localhost:8081/ransim/api/GenerateIntelligentSlicingPmData -i
       
13. To Stop PM data:
    1. curl -X POST -H "Content-Type:  text/plain" http://localhost:8081/ransim/api/stopIntelligentSlicingPmData -i

7. Honeycomb:

Repo URL: https://github.com/onap-oof-pci-poc/ran-sim

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