Overview
| Project Name | Enter the name of the project |
|---|
| Target Release Name | Orinoco |
| 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 | ex. https://jiralf-anuket.anuketatlassian.ionet/browse/THOTH-28 | |
| Tools |
| - NICIP platform operation (gitlab) Lei Huang
- Improve AlgoSelector Tool.Sridhar Rao
- Timeseries Dataset Analysis tool. Sridhar Rao
- Data Anonymozation Tool. Yichen Li TBD
|
Framework |
| - Continue collaboration with Mindspore Lei Huang
- Kubeflow with Models of AlgoSelector Sridhar Rao Rohit Singh Rathaur
|
| Research |
| NICIP research paper with ITU-T 13 Lei Huang |
| NICIP |
| - 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
- Publish at least one network intelligence scenario competition problem on NICIP platform, include NFV log analysis scenario,etc. Lei Huang
- Publish at least one open network operation and maintenance data set on the network intelligent collaborative innovation project platform Lei Huang
- 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
- Jointly promote R&D with external open source communities such as LF AI Lei Huang
|
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