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STATUS: 

OOF (ONAP Optimization Framework):

1. High Level Component Definition and Architectural Relationships 

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 Optimization
OOFE-5OOF Model Administrator

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









3. Component Description:

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


5. Used Models


6. System Deployment Architecture

7. New Capabilities in this Release

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8. References


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