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Summary: Edge Scoping 

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  • Cloud SW Capability example 
    • Cloud region "x" with SR-IOV, GPU, Min-guarantee support
    • Cloud region "y" with SR-IOV support
  • Cloud HW Capability example 
    • Resource cluster "xa" in Cloud region "x" with SR-IOV and GPU support 
    • Resource cluster "xb" in Cloud region "x" with GPU support
    • Resource cluster "ya" in Cloud region "y" with SR-IOV support

Note 3:

  • 5G Service/VNF placement example
    • Constraints used by Optimization Framework (OOF)
      • 5G CU-UP VNF location to be fixed to a specific physical DC based on 5G DU, bounded by a max distance from 5G DU

    • Optimization Policy used by OOF
      • Choose optimized cloud region (or instance) for the placement of 5G CU UP for subscriber group based on the above constraints

Note 4:

  • For the 5G Service/VNF placement example in Note 3
    • 5G CU-UP VNF preferably maps to a specific Cloud region & Physical DC End Point 

Note 5:

  • For the 5G Service/VNF placement example in Note 3
    • OOF will pass the Physical DC End Point to SO as a opaque data

Note 6:

  • For the 5G Service/VNF placement example in Note 3
    • SO passes the Physical DC End Point to Multi-Cloud as a opaque data, besides the Cloud Region

Cloud-agnostic Placement/Networking & Homing Policies (Phase 1 - Casablanca MVP, Phase 2 - Stretch Goal)

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  • Deployment-Intent 
    • 1. "Infrastructure Resource Isolation for VNF" – { "qosProperty": { {"Burstable QoS": "TRUE", "Burstable QoS Oversubscription Percentage": "25"} } }
      • Casablanca Plan
        • Only certain pre-defined over-subscription values are allowed to reflect practical deployment and simplify implementation 
      • Dublin & Beyond Potential Plan
        • Creating instance types on demand for private clouds - to study
    • 2. Cloud-agnostic Workload Deployment Policy (Intent) 
      • Casablanca Plan
        • Cloud-Agnostic Workload Deployment Policy (Intent) can be directly mapped to specific realization (e.g. OpenStack Flavor, Azure Instance Type) to simplify implementation.  
      • Dublin & Beyond Potential Plan
        • VIM Capability Discovery to populate Intent in A&AI (similar aligning taking into account Cloud selection policy based on cost specific to Intent (leverage similarities to HPA label discovery supported since R2)
          • VIM selection – Intent to be populated in A&AI for capability matching 
          • VIM Deployment realization - Intent(s) to specific realization mapping (e.g. OpenStack Flavor, Azure Instance Type) to be populated in A&AI 
  • Policy-based & cloud-selection
    • 3. Tenant Information is not passed in the OOF → MC API
      • Casablanca Plan
        • The tenant information is derived from a simple mapping function per <cloud owner, cloud region>
          • A simple mapping would be a tenant per <cloud owner, cloud region> as part of Multi-VIM plugin configuration.
          • Need to make sure that this scheme is synchronous with the SO → MC API path
      • Dublin & Beyond Potential Plan
        • Pass Tenant Information per <cloud owner, cloud region> in the OOF → MC API
    • 4. VM Instance type/VM Feature Group dollar-cost-based cloud selection 
      • Casablanca Plan

        • By default, the workload deployment cost is computed as a fixed cost per plugin
          • VM Instance type/VM Feature Group dollar-cost-based cloud selection is optional for all Multi-Cloud Plugins

      • Dublin & Beyond Potential Plan

        • Deep dive further on dollar-cost-based cloud selection models/implementation for public/private clouds 

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View file
namePromethus-aggregation.pdf
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ONAP Edge Analytics with DCAE/DMaaP independent of closed loop (Beyond Casablanca)

Value

  • 5G Analytics

ONAP ComponentLife cycle phaseEnhancements
OOM - ONAP CentralDeploy
  • Separate ONAP-edge Instance per 'edge domain', (ie., separate from onap-central instance, of course)
    • Note: Independent of any Edge CP's Orchestration components.
  • SP uses a central-OOM with a 'policy' for deployment of an onap-edge instance, e.g., xyz edge provider with abc components, etc.
    • However, onap-edge instance can be 'lighter weight' with subset of components needed (per MVP discussed below)
    • Desirable to managed as a separate K8s cluster (ie., separate from onap-central instance, of course) and, only for onap-edge use, ie., don't use for other 'workloads' like network apps or 3rd party apps
  • Central OOM to deploy the following ONAP edge instance
    • DMaaP with mirror capability

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