...
- Configure four E2E Slices (shared or non-shared)
- Trigger PM data generation for those slices using the below RAN Simulator API
| Code Block |
|---|
curl -X POST -H "Content-Type: text/plain" http://localhost:8081/ransim/api/GenerateIntelligentSlicingPmData -i |
3. Run the ML model against the generated PM data and check whether it works as expected
...
This model can be used fed as an input to the Acumos adapter and the microservice can be generated. This microservice is onboarded to DCAE via DCAE MOD and can be made available for future predictions.
Suggested Configuration from the ML MS should be in the form of below format
| Expand |
|---|
| title | Recommendation format |
|---|
|
{
"snssai": "0001-0111",
"data": [{
"gNBCUName": "cucpName",
"nearRTRICId": "NearRTRIC1",
"cellCUList": [{
"cellLocalId": 111,
"configData": {
"maxNumberofConns": "20",
"predictedMaxNumberofConns": "25",
"lastUpdatedTS": "yyyy/MM/dd HH:mm:ss"
}
}, {
"cellLocalId": 112,
"configData": {
"maxNumberofConns": "20",
"predictedMaxNumberofConns": "25",
"lastUpdatedTS": "yyyy/MM/dd HH:mm:ss"
}
}]
}, {
"gNBCUName": "cucpName2",
"nearRTRICId": "NearRTRIC2",
"cellCUList": [{
"cellLocalId": 113,
"configData": {
"maxNumberofConns": "20",
"predictedMaxNumberofConns": "25",
"lastUpdatedTS": "yyyy/MM/dd HH:mm:ss"
}
}, {
"cellLocalId": 114,
"configData": {
"maxNumberofConns": "20",
"predictedMaxNumberofConns": "25",
"lastUpdatedTS": "yyyy/MM/dd HH:mm:ss"
}
}]
}]
} |
