Internship Projects/Mentors
Description
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
Additional Information
LFN Acumos: https://www.acumos.org/
Learning Objectives
ML Techniques: Deep_learning.
ML model development
AI/ML for Telco Usecases.
Expected Outcome
Enchance Acumos with model for NFV/Telco Usecases
Run Acumos with these enhancements in Anuket Testbeds.
Relation to LF Networking
Will be part of Anuket.
Education Level
Undergraduate
Skills
Knowledge of ML and ML-Tools - Tensorflow.
Future plans
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
Part-Time
Mentor(s) Names and Contact Info
Sridhar K. N. Rao
Spirent Communications
sridhar.rao@spirent.com