This project aims to develop AI/ML models for NFV-usecases. Any two of the following three problems can be considered.
VNF/CNF resource/performance/failure prediction
- NFV log analysis with NLP
- Synthetic monitoring and logging data generation using GANs
Prediction of VNF Resource Demands
NFV log analysis with NLP
Synthetic monitoring and logging data generation using GANs
LFN Thoth: https://wiki.anuket.io/display/HOME/Thoth
LFN Acumos: https://www.acumos.org/
TensorFlow Time Series : https://www.tensorflow.org/tutorials/structured_data/time_series
Collectd : https://collectd.org/
ML Techniques: Deep_learning.
ML model development
AI/ML for Telco Usecases.
Develop AI/ML model for NFV/Telco Usecases.
Deploy model with Acumos/Kubeflow framework.
Run Acumos/Kubeflow in Anuket Testbeds.
Comprehensive report on applications of AI/ML in Networking(Comparative analysis).
Relation to LF Networking
At least undergraduate
Knowledge of ML and ML-Tools - Tensorflow.
This work can be enhanced to more useful and complex AI for NFV usecases in future.
Preferred Hours and Length of Internship
Mentor(s) Names and Contact Info
Please read all instructions before applying. Include Resume, proof of school enrollment, and participation permission from school/employer