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Summary: Edge Scoping 

Distributed Cloud Infrastructure Object Hierarchy, Cloud-agnostic Placement/Networking & Homing Policies

Value:

  • 5G VNF Placement & High Performance Networking (5G and beyond)
  • Improve ONAP Deployability through Cloud-Agnostic Intent for Intra-DC Placement & Networking

References: 

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ONAP ComponentLife Cycle PhaseEnhancements
PolicyDesign

Define Distributed Cloud Infrastructure Service Placement Policies (Note 3) – No enhancement needed to Policy Framework

  • Leverage Standardized Distributed Cloud Infrastructure Object Hierarchy & Capabilities from A&AI
Multi-CloudDeploy

Support Distributed Cloud Infrastructure Capability Discovery (Note 1, Note 2)

SO ↔ MC IaaS intent-based workload instantiation API framework to support cloud agnostic intent for Compute/Network/Storage ; MC to translate cloud-agnostic intent from SO into cloud-specific placement & networking attributes (Note 7 "Example", Note 8 "Execution Workflow")

Networking – MC <-> Private/Public SDN-DC per Cloud region (Networking Workflow, Ref. 2)

A&AIDeploy

Support Standardized Distributed Cloud Infrastructure Object Hierarchy & Capability Database (Ref. 1)

  • Loose coupling between HW objects (private cloud) and SW objects (private and public clouds)
  • Includes Standardized Capabilities across clouds & Capabilities unique to certain clouds
  • Note:
    • Multi-Cloud Distributed Cloud Infrastructure Capability Discovery process will populate the aforementioned database
OOFDeploy

Execute Distributed Cloud Infrastructure Placement Policies for Optimized Service/VNF Placement across Cloud Regions (Note 4)

Resource Reservation

SODeploy

Extend SO ↔ OOF API to support cloud agnostic intent (Note 5)

Extend SO ↔ MC API to support cloud agnostic intent (Note 6)

Assumption for Policy, SO, OOF:

...

  • Cloud agnostic placement attributes are targeted to abstract the following cloud specific placement attributes
    • HPA attributes (e.g. Smart NIC Family, GPU Family) based on Cloud specific HW/SW support
    • Normalized CPU capacity for VMs/Containers based on Cloud specific HW support
    • Fine-grained Placement attributes based on Cloud specific SW support
      • e.g., Rack-level Anti-affinity-> Azure: Fault-Domain, AWS: Placement-Group 
      • e.g., Exclusivity ->                   Azure: Isolated VM, AWS: Dedicated Host 
      • e.g., Fine grained QoS ->       VMware Minimum guarantee, Kubernetes Burstable Class
  • For the 5G Service/VNF placement example in Note 3
    • Multi-Cloud interprets cloud agnostic intent as Physical DC Endpoint and translates to cloud-specific placement attribute such as Availability Zone
      • For this example, each distributed physical DC is in a separate Availability Zone for a OpenStack-based Cloud

  • Cloud Agnostic Placement Example
    • Intent: Rack-level Anti-affinity for VMs within a VNF
    • Different Realization for different clouds
      • OpenStack-based (open source, Wind River, VMware VIO)
        • Heat Template – policy-group, anti-affinity policy
      • Azure
        • Fault-domain
      • AWS
        • Placement group 
  • Cloud Agnostic Networking Example
    • Intent: High Performance Intra-DC data plane networking
    • Several Realization Options per Cloud – the final realization choice could be based on least current resource usage or other criteria
      • Overlay in SmartNIC
      • Gateway in SmartNIC
      • Overlay in DPDK-based switch/router
      • Gateway in DPDK-based switch/router
      • Overlay in ToR
      • Gateway in a ToR
      • Gateway in a HW appliance
    • Realizations which are fixed
      • Underlay maps to ToR/Network Fabric
      • No CPU usage for data plane networking maps to VMs/Containers with SR-IOV support

Note 8:

  • Cloud Agnostic Intent Execution Workflow
    • 1) OOF → MC runtime check for a specific cloud region which can support capability/capacity/cost metrics (enhance current capacity check API appropriately)
    • 2) MC processes request from OOF
      • Retrieve target Cloud Region specific policy from "Policy"
      • Evaluate each of the cloud specific options in the policy from a perspective of resource allocation, utilization and cost
      • Return to OOF the option which minimizes <resource allocation, utilization and cost> and the net value of the option
      • In case there requirement cannot be met, return appropriate error
      • Cache the option in MC for the specific cloud region as part of the VNF deployment workflow
    • 3) OOF processes request from MC and picks the target cloud region which maximizes the net value
    • 4) SO → MC VNF deployment request is processed by MC
      • MC looks up the cache for the target cloud request with the VNF deployment request details
      • MC replaces appropriate details in the cloud specific template (Heat, ARM etc.) based on the chosen option in the cache
      • MC deploys workload on target cloud region with dynamically modified cloud specific template 
      • MC removes the cache entry for the specific cloud region for the specific VNF deployment 

Cloud Resource Partitioning for Differentiated QoS

Value:

  • Applicable to all use cases

  • Casablanca Targets:

    • vCPE (Enable Tiered service offering); 5G Network Slicing (Stretch Goal) 

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ONAP ComponentLife Cycle PhaseEnhancements
PolicyDesign

Configuration Policies for Guaranteed, Burstable & Best Effort Cloud Infrastructure Resource Slices (this will apply to VMs/Containers also)

Placement Policies for Resource Slices

  • Higher (programmable) weight to Cloud Region which supports all three types of resource slices vs only two types of resource slices (Guaranteed/Best Effort)
Multi-CloudDeployResource Slice Capability Discovery
A&AIDeploy

Resource Slice Capability per Cloud Region

  • Guaranteed/Burstable/Best Effort

Resource Slice Type

  • Guaranteed/Burstable/Best Effort
OOFDeploy

Execute Resource Slice Placement Policies for Optimized Service/VNF Placement across Cloud Regions

Aggregated Infrastructure Telemetry Streams

Value

  • Edge Infrastructure Analytics complementing 5G VNF Analytics

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ONAP ComponentLife cycle phaseActivities
AAI and ESRDeploy & Run time
  • Add/Modify/Delete recording and alerting rules
AAI and ESRRun time
  • Add/Modify/Delete Edge-cloud information
Multi-CloudRun time
  • Get Edge information from A&AI whenever Edge-Cloud is added or removed.
  • Prepare to wait for information from that Edge-cloud
  • Receive information from edge-cloud and put it in the time series DB.
  • Summation based on recording & alerting rules
  • Export information to DCAE via DMAPP or VES

ONAP Edge Analytics with DCAE/DMaaP independent of closed loop

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