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Questions and comments are inserted in the text as needed, prefix them with "Question:" or "Comment:". Text below the line "----temporary text ----" is a placeholder for text that may or may not be used later on. |
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- All planned services are online, providing FCAPS data through the relevant channels
- RAN NOC personnel have full access to the FCAPS data and ONAP automation framework
- Dashboard displays relevant RAN data
- Calculation and monitoring of key performance indicators is activated, used to verify the capacity requirements
- A first automation use case reacting on an incident or state change has been implemented
Steps
(Oskar M.) More sequences diagrams to added to steps below. Diagram in step 3 needs some more details.
Step 1: Service design
- Onboard SW packages, descriptors and any other artefacts provided by the RAN vendor
- Design RAN-level templates, recipes and workflows covering common network elements, transport network, data collection and analytics, policies and corrective actions
- Design node-level templates, recipes and workflows covering network elements (PNFs and VNFs), transport network, placement or QoS constraints, data collection and analytics, policies and corrective actions
- Distribute the completed design as well as vendor-provided artefacts to the various run-time components.
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(Oskar M.) General ONAP question: The diagram below is modeled based on some other ONAP use cases. Why is there a service instantation request towards SO, but no corresponding requests towards DCAE or Policy to instantiate/activate analytics blueprints or policy rules for this particular service instance?
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Step 4: Add nodes
This step refers to deployment of services and functions defined by templates, recipes and workflows in step 1 for a new 5G node.
- A sub-flow includes the onboarding process for related PNFs.
- In this step node-specific data from planning is also inserted.
- On receiving request, SO and controllers will decompose the request, and allocate and connect the various resources.
- DCAE will start fault, performance, and log data collection as described during design time.
- DCAE will perform data analytics as configured in recipes, to monitor the environment and detect anomalous conditions. Output from analytics is forwarded to Policy and dashboard.
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Step 5: Verify operation
- Verify that service is provided and can be monitored through dashboard using basic observability data and calculated KPIs.
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