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Scope

What is this release trying to address?

Committed: 

Functional Requirements

• F-GPS - Main purpose of F-GPS (a.k.a. ONAP-Valet) is, with considering new placement policies,  to precisely check capacity & capability of target Cloud Region and then, to determine VNF placements (i.e., target zone for each workload (VDU) of VNF). Resources from IBM
  Goals 
  • Capacity & Capability checking for an OpenStack cloud: 
  • Checking the number of zones of the target Cloud Region to solve the Anti-affinity rules.
    • Checking available capacity of each zone to solve Affinity rule.
    • Checking available host profiles of each zone to solve flavor matching (i.e., Host-Aggregates) (Stretch Goal).
  • Placement decisions for Affinity and Anti-Affinity among zones of target Cloud Region. Optionally, decisions go into compute hosts (for private cloud case).
  Stretch Goals
  • 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 (Cloud Region) to be able manage several distributed DC locations/zones. 

  • Leverage capacity alerts (significant change in capacity) from Model-driven Distributed Analytics work.

• Policy Tosca model API and ONAP CLI integration Resources from Intel
  Goal 
  
  • Develop APIs in Policy for uploading policy tosca models for OOF.
  • Develop CLI for creating the policies including templates using ONAP CLI project. This will be extremely valuable in automating policy creation, one of the major pain points in Casablanca during integration tests.
• CMSOCMSO 
  
  • Traffic Migration Workflow Resources from Orange
  • Schedule Optimization with Automated Conflict Avoidance
  • Traffic Migration Workflow
• OOF PCI Optimization
• Slice creation and orchestration - Reach out to N.K. Shankaranarayanan
• Non Functional requirements
  Goals
  • Defining Affinity and Anti-affinity rules in Policy (Stretch Goal). Until this is ready, evaluate with a manual/hard-coded policy.
  Stretch Goals
  
  • Defining Affinity and Anti-affinity rules in Policy (Stretch Goal). Until this is ready, evaluate with a manual/hard-coded policy.

Use Cases

Describe the use case this release is targeted for (better if reference to customer use case).

Minimum Viable Product

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• • (Stretch goal based one resource availability)
    
• OOF PCI Optimization Resources from WIPRO, AT&T
  • OOF PCI Solver and interface shall support at least two optimization objectives (e.g. minimize changes, minimize PCI confusion)
  • OOF PCI Solver policy shall use a PCI range specified in the configuration policy
  • OOF shall provide a joint PCI/ANR solver which will optimize PCI and also recommend a removal of a neighbor relation if there PCI allocation is difficult for a cell which also has a neighbor link for which the successful_handover KPI is below a pre-specified threshold

Non - Functional Requirements:

No commitments yet due to lack of resources

Stretch goals

• Slice creation and orchestration
• Consistent ID of a Cloud Region
  
• Non Functional requirements
  
  • Improve documentation. Document as you code. New features must have mandatory documentation along with code.
  • S3P: Footprint optimization

  • CII Silver badge; internal communication encrypted; role based access control and authorization for all calls

  • Move Helm Chart (OOM) at project level
  • CI/CD enhancement - Continuous Deployment (Comply with the requirements from Task force). Enhance existing CI jobs for Dublin.
  • Unit test coverage to 60% or 70%?
  • Improve OOM deployment time for OOF helm charts. 

Use Cases

• Fine-Grained Placement Service (F-GPS)

• HPA - Hardening, Testing and Automation of vFW, vDNS, vCPE, VoLTE
• CCVPN ? 
• Change Management Dublin Extensions
• Consistent ID of a Cloud Region (Dublin)

Minimum Viable Product

• OOF-HAS - Homing Service that can be provides optimized placement based on policy constraints, across multiple clouds and multiple sites

• OOF-OSDF - Optimization Design framework, that supports HAS, the Homing Optimizer

• OOF-CMSO - Change Management Schedule Optimizer

Functionalities

List the functionalities that this release is committing to deliver by providing a link to JIRA Epics and Stories. In the JIRA Priority field, specify the priority (either High, Medium, Low). The priority will be used in case de-scoping is required. Don't assign High priority to all functionalities.

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Longer term roadmap

Indicate at a high level the longer term roadmap. This is to put things into the big perspectiveAs the ONAP platform matures and new capabilities are introduced over time, the need for platform optimization services will grow along with it. The ONAP Optimization Framework is envisioned to handle this need as effectively as possible, by enabling creation of new optimization services with minimal or little new code development. The goal of OOF is to provide a growing set of core platform optimization services such as VNF placement and resource allocation (OOF-HAS), change management scheduling (OOF-CMSO), etc. 

Vision for OSDF:

OOF-OSDF is envisioned to be a collection of design time optimization libraries along with reusable runtime tools and microservices to facilitate and simplify the creation of new specific runtime optimization functionalities. The goal of OSDF is to avoid siloed optimization tools and associated duplicated efforts and overheads. For instance, the Homing Service, HAS (which was provided in the Beijing release) will not only contribute its reusable components to the framework, but also leverages the framework in its own feature development. Other potential optimization services that can be built using this framework include energy optimization in networks, optimal route selection for various network services, and radio access network (RAN) performance optimization. 

Vision for HAS:

OOF-HAS, or the Homing Service is a distributed resource broker that enables automated policy-driven optimized placement of services on a global heterogeneous platform using ONAP. HAS is architected as an extensible homing service that can accommodate a growing set of homing objectives, policy constraints, data sources and placement algorithms. It is service-agnostic by design and can easily onboard new services with minimal effort. HAS is designed to be used as a building block for both initial deployment, as well as runtime redeployment due to failures or runtime-capacity increase (scale-out). While the initial  deliverable of HAS is to provide optimized homing/placement of services during the service instantiation workflows in ONAP,  HAS naturally extends to a general policy-driven optimizing placement platform for all platform placement functions, including placements of VMs, containers (e.g., for DCAE micro-services), ONAP Control Loops or VNF specific resources. HAS will also eventually allow placements of additional resource types such as licenses, VNF resources, etc.

Release Deliverables

Indicate the outcome (Executable, Source Code, Library, API description, Tool, Documentation, Release Note...) of this release.

Sub-Components

List all sub-components part of this release.
Activities related to sub-components must be in sync with the overall release.

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• OOF-HAS - Homing Service that can be provides optimized placement based on policy constraints, across multiple clouds and multiple sites. 
• OOF-OSDF - Optimization Design framework that helps create new types of policy- and model-driven optimizers.
• OOF-CMSO - Change Management Schedule Optimizer

Architecture

High level architecture diagram

At that stage within the Release, the team is expected to provide more Architecture details describing how the functional modules are interacting.

Indicate where your project fit within the ONAP Archiecture diagram.

Block and sequence diagrams showing relation within the project as well as relation with external components are expected.

Anyone reading this section should have a good understanding of all the interacting modules.

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Platform Maturity

Refering to CII Badging Security Program and Platform Maturity Requirements, fill out the table below by indicating the actual level , the targeted level for the current release and the evidences on how you plan to achieve the targeted level.

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List the API this project is expecting from other projects.
Prior to Release Planning review, Team Leads must agreed on the date by which the API will be fully defined. The API Delivery date must not be later than the release API Freeze date.

Prior to the delivery date, it is a good practice to organize an API review with the API consumers.

API Outgoing Dependencies

API this project is delivering to other projects.

• Third Party Products Dependencies

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Describe the plan to integrate and test the release deliverables within the overall ONAP system.
Confirm that resources have been allocated to perform such activities.

The following testing will be planned for OOF in this release:

• Unit Tests and Code Coverage: Target level 60% code coverage (Stretch goal)
• Continuous System Integration Testing (CSIT): Enhance existing CSIT functional tests to cover new features

• Gaps

This section is used to document a limitation on a functionality or platform support. We are currently aware of this limitation and it will be delivered in a future Release.
List identified release gaps (if any), and its impact.

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• Resources

Fill out the Resources Committed to the Release centralized page.

• Release Milestone

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