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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
ModelTBA
  1. Existing: TBA Sridhar Rao  Rohit Singh Rathaur Abhishek Jangid Yichen Li - Failure Predictions (FP) Models: We have developed Neural Network models for predicting failures in Virtual Machines (VMs) used in Network Function Virtualisation (NFV) by analysing VNF data. The data used to build these models are provided by Orange Labs, and the VMs are based on project Clearwater. 
  2. Ongoing: TBA Sridhar Rao  Rohit Singh Rathaur Abhishek Jangid Yichen Li 
ToolsTBA
  1. Existing: TBA Sridhar Rao Lei Huang 
  2. Ongoing:

(1) NICIP platform (gitlab) Yan YangLei Huang 

(2) Others Sridhar Rao  

Framework

TBA

Upstream: TBA Sridhar Rao 

Thoth:

  1. Collaboration with Mindspore Lei Huang 
  2. Kubeflow/Acumos Sridhar Rao 
Researchhttps://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, publish network intelligence scenarios and research reports in collaboration with ITU-T 13 project Beth Cohen MEHMET TOY Lei Huang 
  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

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