Overview
| Project Name | Enter the name of the project |
|---|
| 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
| Category | Jira Reference | Description |
|---|
| Model |
| |
| Tools |
| |
Framework |
| Upstream: TBA Sridhar Rao Thoth: - Collaboration with Mindspore Lei Huang
-
|
| Research |
| NICIP research paper |
| NICIP | https://jira.anuket.io/browse/THOTH-17 | - Collect network intelligence scenario requirements from operators, publishnetwork intelligence scenariosand research
|
reports in collaboration with - reports in collaboration with ITU-T 13 project
|
; 1 - one network intelligence scenariocompetition problem on
|
NICIPplatform; 1open - one open network operation and maintenance data set on the network intelligent collaborative innovation project platform
|
;- Lei Huang
- Create NICIP project specificpage on LFN website(like 5G BP), and publicize project through Webinar and other meeting, including LFN DTF, ONES,etc.
|
;- Lei Huang
- Jointly promote R&Dwith external open source communities such as LF AI Lei Huang
|
Release Artifacts
| Name | Description | Format (Container, Compressed File, etc.) |
|---|
| ML-Models | - Failure Prediction Model
- Log-Analysis
| - Jupyter notebook
- Python Application (Adaptable to ML-Framework)
- Containerized ML-Model (Kubernetes based ML-Framework).
|
| Tools | Data Extraction | Python Application - Jupyter Notebook |
| 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. |
...