OOF Guilin (R7) Architecture Review
- krishna moorthy
- Swaminathan Seetharaman
1. Project Overview
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
2. Functional enhancements for Guilin
The key functional enhancements planned for Guilin are as follows:
Enhancements for E2E Network Slicing use case
Support for MDONS use case
Support for ML based SON optimization
CCVPN route optimization for Transport Slicing
3. Architecture Diagram (Functional view)
OOF Architecture - Guilin (same as in Frankfurt)
