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Purpose:

Main purpose of F-GPS (a.k.a. ONAP-Valet) is, with considering placement rules,  (1) to precisely check capacity & capability of target Cloud Region and then, (2) to determine VNF placements (i.e., target zone or compute host for each workload of VNF).

  • Placement rules include Affinity and Anti-affinity.
  • Scopes of placement rules are, in a target Cloud Region, across availability-zones and optionally, across compute hosts.
  • Applications of placement rules are workloads within a VNF or workloads across VNFs.
  • Opportunity to standardize many other placement rules (e.g., Exclusivity, Quorum-Diversity) in VNFD and Policy.
  • Integrated into OOF/HAS (maybe initially as dark mode for evaluation in Dublin).

Owner :  TBD

Participating Companies: VMware (Architecture/Modelling), Intel (Architecture), AT&T

Operator Support: 5G Use Case

Parent page: TBD

Use Case Name

Showcase VNFTest EnvironmentIntegration Team Liaison
5GTBD

OOF

5G Data Plane Performance use case:

A VNF instance has 2 workloads (2 VM instances) that must be placed in a same zone (or compute host) because of the high throughput requirement between workloads. Meanwhile, 2 more replicas of the VNF instance must be placed in different zones (or different compute hosts) of the same Cloud Region because of the high-reliability requirements for the VNF.

To meet these requirements, each VNF instance must specify an Affinity rule for its 2 workloads. Meanwhile, the same type of workloads in those 3 VNF instances must specify an Anti-affinity rule.

5G VNF user(s) aware Placement:

Place 5G VNF in a specific DC location/zone in a distributed cloud for user(s) proximity. A single cloud control plane is managing several distributed DC locations/zones. 

Dublin Focus:

  • Seed code for placement decisions for OpenStack cloud and evaluate in an OpenStack testbed. Later, extend to the other clouds including Azure and AWS.
  • Capacity & Capability checking for an OpenStack cloud: 1) Checking the number of zones of the target Cloud Region to solve the Anti-affinity rules, 2) Checking available capacity of each zone to solve Affinity rule, 3) Checking available host profiles of each zone to solve flavor matching (i.e., Host-Aggregates).
  • Placement decisions for Affinity and Anti-Affinity among zones of target Cloud Region. Optionally, decisions go into compute hosts (for private cloud case).
  • Defining Affinity and Anti-affinity rules in Policy (Stretch Goal). Until this is ready, evaluate with a manual/hard-coded policy.
  • Specifying Affinity and Anti-affinity rules in homing/placement request (Stretch Goal). Until this is ready, evaluate with a manual/hard-coded specification.
  • Distributed cloud modelling immediately relevant to F-GPS - a single cloud control plane to be able manage several distributed DC locations/zones. 
  • Leverage capacity alerts (significant change in capacity) from Model-driven Distributed Analytics work.

Impacted Projects 

ProjectPTLJIRA Epic / User Story*Requirements
OOFSarat Puthenpura
  • OSDF: support new homing/placement constraints (Affinity, Anti-affinity, and resources per workload (e.g., VM) of VNF) as policies and/or VNFD model.
  • HAS: 1) implement new placement constraints and interact with F-GPS, 2) deal with new placement decisions returned from F-GPS.
Multi-VIM/Cloud


  • Collect Availability-Zone capacity data from Clouds.
  • Open new API to communicate with F-GPS for per Availability-Zone capacity checking.
  • Enable the placement decisions (e.g., update Heat env in OpenStack case) to send them to Cloud orchestrator (e.g., OpenStack) via plugins.
A&AI
  • Open (new) API for F-GPS to obtain Availability-Zone information of each Cloud Region.
  • Distributed cloud modelling immediately relevant to F-GPS - a single cloud control plane to be able manage several distributed DC locations/zones. 


Testing

Current Status



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