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It is being developed based on the following core ideasprinciples:

  1. Most optimization problems can be solved in a declarative manner using a high-level modeling language.
  2. Recent advances in open source optimization platforms allow the solution process to be mostly solver-independent.
  3. By leveraging the library of standard/global constraints, optimization models can be rapidly developed.
  4. By developing a focused set of platform components, we can realize a policy-driven, declarative system that allows ONAP optimization applications be composed rapidly and managed easily
    1. Policy and data adapters
    2. Execution and management environment
    3. Curated "knowledge base" and recipes to provide information on typical optimization examples and how to use the OOF 
  5. More importantly, by providing a way to support both "traditional" optimization applications and model-driven applications, we can provide a choice for users to adapt the platform based on their business needs and skills/expertise.

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  • How long the project has been an active:  TSC approval date for OOF project is June 23, 2017. The project has been active since Beijing release and has participated in all releases through frankfurtFrankfurt.
  • Release Participation:  OOF project has been part of Release R2 through Release R6.
  • Engagement levels for past releases (up to 3): 
    • Commits per Release:  See table below
    • Contributors per Release:  See table below
    • Companies per release: See table below

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  • Use Cases:  The Key uses cases that OOF Project has contributed so far are as follows:
    • 5G OOF SON use case
    • 5G E2E Network Slicing use case
    • CCVPN use case
    • Fine-Grained Placement Service (F-GPS)
    • Change Management (CM)
    • Homing use cases (Homing vCPE, Homing 5G RAN VNFs)
    • MDONS use case (from Guilin release)

Architecture Alignment:

  • Last Architecture review was done on Jan 7, 2020 as part of the Frankfurt release

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