This project aims to deploy and run AI/ML models for NFV-usecases. Any two of the following three problems can be considered. .
- VNF/CNF Placement
VNF/CNF resource/performance/failure prediction
- Packet-Loss Classification
Prediction of VNF Resource Demands
|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.com/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 applications of AI/ML in Networking(Comparative analysis).
Relation to LF Networking
Will be part of Anuket.
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.
Preferred Hours and Length of Internship
Mentor(s) Names and Contact Info
Sridhar K. N. Rao
Girish L. (PhD Student)