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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
Modelhttps://lf-anuket.atlassian.net/browse/THOTH-28

Ongoing: Data Mining Based Log Analysis MethodsYichen Li 

Tools
  1. https://lf-anuket.atlassian.net/browse/THOTH-29
  2. https://lf-anuket.atlassian.net/browse/THOTH-25
  3. https://lf-anuket.atlassian.net/browse/THOTH-26
  1. NICIP platform (gitlab) Yan YangLei Huang 
  2. Improve AlgoSelector Tool. (Sridhar Rao )
  3. Timeseries Dataset Analysis tool. (Sridhar Rao )


Framework

  1. https://lf-anuket.atlassian.net/browse/THOTH-30
  2. https://lf-anuket.atlassian.net/browse/THOTH-27
  1. Collaboration with Mindspore Lei Huang 
  2. Kubeflow with Models of AlgoSelector (Sridhar Rao Rohit Singh Rathaur )
Researchhttps://lf-anuket.atlassian.net/browse/THOTH-24NICIP research paper Lei Huang 
NICIPhttps://lf-anuket.atlassian.net/browse/THOTH-17
  1. Collect network intelligence scenario requirements from operators, publish network intelligence scenarios and research reports in collaboration with ITU-T 13 project Beth Cohen MEHMET TOY Lei Huang @Joao
  2. Publish at least one network intelligence scenario competition problem on NICIP platform Lei Huang 
  3. Publish at least one open network operation and maintenance data set on the network intelligent collaborative innovation project platform Lei Huang 
  4. Create NICIP project specific page on LFN website(like 5G BP), and publicize project through Webinar and other meeting, including LFN DTF, ONES,etc. Lei Huang 
  5. Jointly promote R&D with external open source communities such as LF AI Lei Huang


Release Artifacts

Log-
NameDescription

Format (Container, Compressed File, etc.)

ML-Models
  • Failure Prediction Model
    •  Data Mining Based Log AnalysisJupyter
    notebook
  • Python Application (Adaptable to ML-Framework)
  • Containerized ML-Model (Kubernetes based ML-Framework).
    • ToolsData ExtractionPython Application - Jupyter Notebook
    Notebook, Python Script
    ToolsAlgoselector, TS-Dataset Analysis Tool.Jupyter Notebook, Python Script
    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.

    Architecture

    High level architecture diagram

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