Internship Projects/Mentors

Description 

This project aims to develop AI/ML models for NFV-usecases. Any two of the following three problems can be considered. 

1. VNF/CNF resource/performance/failure prediction

2. NFV log analysis with NLP
3. Synthetic monitoring and logging data generation using GANs

Additional Information

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/

Repo: https://github.com/opnfv/thoth

Learning Objectives

ML Techniques: Deep_learning.

ML model development

AI/ML for Telco Usecases.

Expected Outcome

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 

Anuket Thoth

Education Level

At least undergraduate

Skills

Knowledge of ML and ML-Tools - Tensorflow.

Future plans

This work can be enhanced to more useful and complex AI for NFV usecases in future.

Preferred Hours and Length of Internship

Part-Time

Mentor(s) Names and Contact Info

Click here to apply

Please read all instructions before applying.  Include Resume, proof of school enrollment, and participation permission from school/employer

Lei Huang <huangleiyjy@chinamobile.com> (Lei Huang)

Sridhar Rao <srao@linuxfoundation.org> (Sridhar Rao)