Machine Learning to Optimize Service Delivery in ENCQOR Distributed Fabric

The 5G network provides an innovation in cloud assets delivery that will transform multiple application domains such as health care, autonomous driving, smart cities, Industry 4.0, etc. Relying on the ENCQOR infrastructure (the first 5G network in Canada), this research will apply machine learning to improve network failure detection and optimize network recovery for continuity of service delivery in 5G. This project also addresses a larger goal of integrating college students’ contributions into cutting-edge research and development to implement distributed machine learning algorithms. The proposed research project is used as the building blocks for a new class of Ciena’s network solutions, which will be offered to many world-class operators.

Faculty Supervisor:

Victor Ponce;Patricia Campbell;Joel Trudeau

Student:

Partner:

Ciena Canada (Saint-Laurent, QC)

Discipline:

Computer science

Sector:

Information and cultural industries; Manufacturing

University:

Dawson College

Program: