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OOF (ONAP Optimization Framework):

1. High Level Component Definition and Architectural Relationships 



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OOF provides several optimization functions needed by various ONAP functions and use cases. 

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2. API definitions


OOF provides the following interfaces:

Interface NameInterface Definition Interface Capabilities
OOFE-1
  • Homing
  • Traffic Distribution
  • Network Slicing

It enables placement based on a wide variety of policy constraints including capacity, location, platform capabilities, and other service specific constraints. 

OOFE-2PCI/ANR OptimizationEnables PCI/ANR optimization API for SON.
OOFE-3Schedule Optimizationa policy driven workflow schedule optimizer for change management planning. This interface schedule workflows in time to maximize parallel change management activities, while respecting dependency between the workflows.
OOFE-4Route OptimizationProvides an interface for Router Optimization.
OOFE-5OOF Model AdministratorThis is for the OOF Model Administrator API.  This API is a way to dynamically change the optimization models that will be used to find solutions for various optimization problems.  This API will be used to Create, Update or Delete Models.
OOFE-6

Network Slicing

This interface enables slice selection recommendations.  

Note:   xxxI interface is a Component internal interface.  xxxxE interface is a component external interface

The current API documents can be found at:

OOF consumes the following Interfaces:

Interface NamePurpose Reason For Use
SDCE-1For PCI/ANR optimization, OOF Retrieves the Cellsite inventory details from the configdb API, which is hosted as part of the SDNC/R component
AAIE-1OOF interfaces with AAI to retrieve the inventory
MCE-5

OOF queries Multicloud for real-time available capacity information

MUSICI-1OOF interfaces with MUSIC to persist service state.


3. Component Description:

A more detailed figure and description of the component.

ONAP Optimization Framework (OOF) is an Umbrella project, with the primary goal of addressing the optimization needs of ONAP. OOF is a framework that supports creating and running a suite of Optimizing applications including: 
-Change Management Scheduling optimizer
-Homing/Placement optimizer
-PCI optimizer
-Route optimizer

OOF is targeted to be an optimization platform with the following goals: 
-Declarative, policy-driven approach to solving optimization problems
-Reusable components: data and policy adapters/libraries, execution environment
-Support General-Purpose as well as Custom optimizers
-Extensible to multiple optimization problems

Internally, OOF has the following components: 

  • OSDF: Optimization Service Design Framework, which is a collection of APIs and libraries, along with a generic runtime optimizer
    • Status: Part of ONAP since Beijing Release.
  • HAS: Homing and Allocation Service, which provides a policy based constraint driven selection optimizer
    • Status: Part of ONAP since Beijing Release.
  • CMSO: Change Management Schedule Optimizer, providing schedule optimization
    • Status: Seed code up-streamed in R3
  • FGPS: Fine Grained Placement Service
    • Status: Seed code up-streamed, POC in Frankfurt

4. Known system limitations

Please find the known system limitations in the following links

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5. Used Models

Clamp uses the following models:

OOF doesn't directly create models, but indirectly consumes them via AAI, Policy and Multi Cloud. 

  • Service and Resource Info, from: AAI
  • Network Topology for CM: AAI
  • HPA Flavors/Capabilities/CapacityInfo, from : AAI
  • Policy Models (homing, PCI) from: Policy
  • Infrastructure Metrics Info (capacity), from: MultiCloud
  • Cloud agnostic Intent Info, from: MultiCloud
  • AZ level capacity Info, from: MultiCloud (for F-GPS)
  • PCI configuration data(not yet part of SDC model)
  • Slice/Subnet Profile and Slice/Subnet Instance models, from AAI

6. System Deployment Architecture

Image Added

7. New Capabilities in this Release

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  • Component Upgrades to new Policy Lifecycle API
  • Support for E2E Network Slicing
  • Support to perform CRUD operations on certain optimization models during runtime. 

8. References