...
- The service name given for creating the policy must match with the service name in the request
- The scope fields in the policies should match with the value in the resourceSharingLevel(non-shared/shared). Do modify the policy accordingly.
- Check the case of the attributes with the OOF request with the attribute map (camel to snake and snake to camel) in config/slicing_config.yaml, if any mismatch found modify the attribute map accordingly.
You need to restart the OOF docker container once you updated the slicing_config.yaml, you can do it using the following steps,
- Login to the worker VM where the OOF container is running. You can find the worker node by running (kubectl get pods -n onap -o wide | grep dev-oof)
- Find the container using docker ps | grep optf-osdf
- Restart the container using docker restart <container id>
CPS Configuration:
Refer CPS Configuration to setup standalone CPS and configuration of OOF and CPS.
6. Core NF Simulator Setup
...
Refer ACTN Simulator User Guide to setup ACTN-simulator or follow the below steps to launch and initialize domain controllers,
Refer Transport Slicing Configuration and Operation Guidance for NextHop details of AN &CN
Step 1. Fetch the simulator docker image
...
- Restart datalake-feeder container after loading above configurations in the DB.
POLICY :
The following policies are to be included for the OOF optimisation based on resource occupancy . Refer Optimization Policy Creation Steps for optimization policy creation and deployment steps.
View file name resource-occupancy-policies.zip height 150
RANSIM :
- RANSIM and honeycomb containers should be running
- 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.
- RANSIM must contain 'plmninfo' of the service which is to be shared with other services. Then generate closed-loop PM data which will be stored in mongo-db by datalake-feeder.
- Sample closed loop data: closed-loop-data.txt
- Run the following command to generate Closed Loop PM data:
- curl -X POST http://localhost:8081/ransim/api/generateClosedLoopPmData -i
- Run the following command to stop Closed Loop PM data(When enough PM data is generated):
- curl -X GET http://localhost:8081/ransim/api/stopClosedLoopPmData -i
- Access the DU honeycomb containers to view the logs:
- docker container logs -f 110
- Check the folder(where SFTP setup is done) to view the generated PM data files.
- Access VES, data file collector, dmaap-dr, PM mapper and slice-analysis logs to verify.
...
- Login to dcae-mongodb container and execute following commands to check if PM data was saved in DB:
- mongo
- use datalake
- db.unauthenticatedperformancemeasurements.find({})
- to load sample data:
| Code Block | ||||||||
|---|---|---|---|---|---|---|---|---|
| ||||||||
db.unauthenticatedperformancemeasurements.insert({
"event":{
"commonEventHeader":{
"domain":"perf3gpp",
"eventId":"95e79282-2876-4000-8192-b514ad7f399a",
"sequence":0,
"eventName":"perf3gpp_RnNode-Slicing_pmMeasResult",
"sourceName":"220",
"reportingEntityName":"",
"priority":"Normal",
"startEpochMicrosec":1651216762867,
"lastEpochMicrosec":1651216762868,
"version":"4.0",
"vesEventListenerVersion":"7.1",
"timeZoneOffset":"UTC+05:30"
},
"perf3gppFields":{
"perf3gppFieldsVersion":"1.0",
"measDataCollection":{
"granularityPeriod":900,
"measuredEntityUserName":"",
"measuredEntityDn":"220",
"measuredEntitySoftwareVersion":"r0.1",
"measInfoList":[
{
"measInfoId":{
"sMeasInfoId":"measInfoIsVal"
},
"measTypes":{
"sMeasTypesList":[
"SM.PrbUsedDl.01-3C5C90",
"SM.PrbUsedUl.01-3C5C90"
]
},
"measValuesList":[
{
"measObjInstId":"15155",
"suspectFlag":"false",
"measResults":[
{
"p":1,
"sValue":"5"
},
{
"p":2,
"sValue":"7"
}
]
},
{
"measObjInstId":"15174",
"suspectFlag":"false",
"measResults":[
{
"p":1,
"sValue":"6"
},
{
"p":2,
"sValue":"7"
}
]
},
{
"measObjInstId":"15175",
"suspectFlag":"false",
"measResults":[
{
"p":1,
"sValue":"15"
},
{
"p":2,
"sValue":"4"
}
]
},
{
"measObjInstId":"15176",
"suspectFlag":"false",
"measResults":[
{
"p":1,
"sValue":"5"
},
{
"p":2,
"sValue":"14"
}
]
},
{
"measObjInstId":"15825",
"suspectFlag":"false",
"measResults":[
{
"p":1,
"sValue":"0"
},
{
"p":2,
"sValue":"14"
}
]
}
]
}
]
}
}
}
}) |