Overview
Project Name | Enter the name of the project |
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Target Release Name | Nile |
Project Lifecycle State | Incubation |
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
jiraanuketio publishnetwork - publish network intelligence
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scenariosand research reports in collaboration with - scenarios and research reports in collaboration with ITU-T 13 project
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; 1 scenariocompetition - scenario competition problem on
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NICIPplatform; 1open - one open network operation and maintenance data set on the network intelligent collaborative innovation project platform
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; specificpage - specific page on LFN website(like 5G BP), and publicize project through Webinar and other meeting, including LFN DTF, ONES,etc.
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;Dwith - D with external open source communities such as LF AI Lei Huang
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Release Artifacts
Name | Description | Format (Container, Compressed File, etc.) |
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ML-Models | Failure Prediction ModelLog- Data Mining Based Log Analysis | Jupyter notebookPython Application (Adaptable to ML-Framework)Containerized ML-Model (Kubernetes based ML-Framework). | Tools | Data Extraction | Python Application - Jupyter NotebookNotebook, Python Script |
Tools | Algoselector, 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-Framework | Upstream ML framework project | Integration Code. |
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