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Table of Contents

Overview

Project NameEnter the name of the project
Target Release NameNile
Project Lifecycle StateIncubation

Scope

This project aims to build machine-Learning models and tools that can be used by Telcos (typically by the operations team in Telcos). Each of these models aims to solve single problem within a particular category.

Requirements


CategoryJira ReferenceDescription
Model

Tools

Framework



Research

NICIP
  1. Collect network intelligence scenario requirements from operators, publishnetwork intelligence scenariosand research reports in collaboration with ITU-T 13 project;
  2. Publish at least 1 network intelligence scenariocompetition problem on NICIPplatform;
  3. Publish at least 1open network operation and maintenance data set on the network intelligent collaborative innovation project platform;
  4. Create NICIP project specificpage on LFN website(like 5G BP), and publicize project through Webinar and other meeting, including LFN DTF, ONES,etc.;
  5. Jointly promote R&Dwith external open source communities such as LF AI


Release Artifacts

NameDescription

Format (Container, Compressed File, etc.)

ML-Models
  1. Failure Prediction Model
  2. Log-Analysis
  1. Jupyter notebook
  2. Python Application (Adaptable to ML-Framework)
  3. Containerized ML-Model (Kubernetes based ML-Framework).
ToolsData ExtractionPython Application - Jupyter Notebook
Research Studies

AI/ML problems in NFV, OSS Frameworks

AI/ML & Kubernetes in NFV

.md files and/or pdf files.
ML-FrameworkUpstream ML framework projectIntegration Code.

...