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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


  • Existing: TBA Sridhar Rao  Rohit Singh Rathaur Abhishek Jangid Yichen Li 
  • Ongoing: TBA Sridhar Rao  Rohit Singh Rathaur Abhishek Jangid
    CategoryJira ReferenceDescription
    Model
    TBA
    https://jira.anuket.io/browse/THOTH-28

    Ongoing: Data Mining Based Log Analysis Methods

  • Existing: TBA Sridhar Rao Lei Huang 
  • Ongoing: TBA Sridhar Rao 
    Tools
    TBA
    1. https://jira.anuket.io/browse/THOTH-29
    2. https://jira.anuket.io/browse/THOTH-25
    3. https://jira.anuket.io/browse/THOTH-26
    1. NICIP platform (gitlab)
    1. Yan YangLei Huang 
    2. Improve AlgoSelector Tool. (Sridhar Rao )
    3. Timeseries Dataset Analysis tool. (Sridhar Rao )


    Framework

    TBA

    Upstream: TBA Sridhar Rao 

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


    Release Artifacts

    NameDescription

    Format (Container, Compressed File, etc.)

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

    ...