Page Comparison

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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• Parse Template (e.g. OpenStack Heat Template)
  
  • For each VNFC, instance type in the template
    
    • Fetch Cloud-Agnostic Workload Deployment Policy (Intent) based on VNFC (e.g. vGW)
      • Value/Content: <Policy JSON> 
    • Parse Policy JSON
    • Modify template (if needed) according to Intent 
      • Intent examples of interest for R3 
        
        • "Infrastructure High Availability (HA) for VNF" 
        • "Infrastructure Resource Isolation for VNF"   
          • "Burstable QoS"
        • "Infrastructure Resource Isolation for VNF"   
          • "Guaranteed QoS"

• Policy (Intent) Realization

  • Determining the flavor (OpenStack-based VIMs) # same logic applies for instance type in Azure
    • Each VNFC uniquely maps to a Flavor - for e.g. VNFC "vgw" maps to "vgw-base", "vDNS" maps to "vDNS-base"
    • Beyond Casablanca
      • VNFC intent to realization mapping happens through A&AI. 
  • "Infrastructure High Availability (HA) for VNF"
    • OpenStack-based Cloud realization 
      • For R3, Host-based anti-affinity using server groups //Beyond R3, Support other anti-affinity models at availability zone level etc. 
      • Implementation Notes: 
        • Instance "count" in heat template specifies VNFC scale out factor 
        • While dynamic injection of server group into heat template is ideal, a simple starting point could be just switching to an alternate heat template which is identical to the deployment template and additionally has server group
    • Azure realization 
      • Availability Set?

  • "Infrastructure Resource Isolation for VNF" – { "qosProperty": { {"Burstable QoS": "TRUE", "Burstable QoS Oversubscription Percentage": "25"} } }

    • OpenStack-based VMware VIO Cloud realization

      • This can be achieved through min guarantee -- Max or limit (upper bound) & Min or Reservation (guarantee) are part of OpenStack flavor metadata

        • https://docs.openstack.org/horizon/latest/admin/manage-flavors.html

        • https://blogs.vmware.com/openstack/resources-guarantee-openstack-and-vmware-integrated-openstack/

  • • • Example 
        • VNFC "vgw" with "Guaranteed QoS" 
          • vCPU (Min/Max) - 16, Mem (Min/Max) - 32GB 
          • Maps to "vgw-Guaranteed-QoS" flavor for OpenStack-based VIMs
          • Same VNFC with "Burstable QoS", 25% over-subscription 
            • vCPU (Min) - 16, Mem (Min) - 32GB 
            • vCPU (Max) - 20, Mem (Max) - 40GB  
            • Maps to "vgw-GuaranteedBurstable-QoS-25-percent-oversubscription" flavor for OpenStack-based VIMs
        • VNFC "vDNS" with "Guaranteed QoS" & "Infrastructure High Availability"
          • Maps to "vDNS-Guaranteed-QoS" flavor and "vDNS-infrastructure-high-availability" heat template
      • Only certain pre-defined over-subscription values are allowed to simplify implementation
      • Implementation Notes:
        • While dynamic injection of limit/reservation into flavor is ideal, a simple starting would be to be to switch to a pre-defined flavor in the environment file
          • For aforementioned example
            • Original flavor - "flavor-xyz-no-oversubscription"
            • Modified flavor based on Policy - "flavor-xyz-25-percent-oversubscription" 
  • Implementation Notes:
    
    • From an implementation stand point, MC would be exposing a Workload Deployment Policy (Intent) API
      • Input : deployment-intent, cloud owner, cloud region, deployment template, deployment environment file, ...
      • Output : Success or Failure with reason, modified deployment template, modified deployment environment file, ...

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ONAP Edge Analytics with DCAE/DMaaP independent of closed loop (Beyond Casablanca)

Value

• 5G Analytics
  
  

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