Date: Thu, 28 Mar 2024 17:18:24 +0000 (UTC) Message-ID: <1120577707.28748.1711646304026@aws-us-west-2-lfn-confluence-1.web.codeaurora.org> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_28747_1018512651.1711646304026" ------=_Part_28747_1018512651.1711646304026 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html
Description
This project aims to deploy and run AI/ML models for NFV-usecases. Any t= wo of the following three problems can be considered. .
VNF/CNF resource/performance/= failure prediction
Problem | Model | Link | Comments |
---|---|---|---|
Prediction of VNF Resource Demands |
RNN, LSTM |
https://ieeexplore.ieee.o= rg/document/8806620 | |
VNF Placement | Neural Network Model (MLP) |
LFN Acumos: https://www.acumos.org/
TensorFlow Time Series : https://www.tensorflow.org/tutorials/structured_data/time_series
Collectd : https://collectd.org/
Hosting Repo: As a Subproject under CIRV - https://github.c= om/opnfv/cirv
ML Techniques: Deep_learning.
ML model development
AI/ML for Telco Usecases.
Enhance Acumos with model for NFV/Telco Usecases.
Run Acumos with these enhancements in Anuket Testbeds.
Comprehensive report on applicatio= ns of AI/ML in Networking(Comparative analy= sis).
Will be part of Anuket.
Undergraduate
Knowledge of ML and ML-Tools - Tensorflow.
This work is the first step toward use of AI/ML in Telecom Networks, it = can be enhanced to more useful and complex usecases.
Part-Time
Sridhar K. N. Rao
Spirent Communications
Girish L. (PhD Student)
VTU