AI Global Manager for AV-Over-IP Network

As digital communication and big data needs increase in a variety of different fields including education, healthcare, business, public areas, and mission-critical operations, organizations need more efficient and effective ways to distribute and display content. Audio-Visual (AV) over Internet Protocol (IP) provides an innovative solution to provide users with enhanced content in real-time. However, AV-over-IP technology can be very taxing on the network.
This project aims to develop a new set of intelligent network management tools that could help with the simulation, management, and ongoing monitoring of next-generation data/AV/IOT networks by leveraging machine learning and AI. This AI-based toolkit will act as an AI Global Manager which considers the integrity of the entire network as a whole and the potential impact of AV services on all nodes. This set of tools would assist organizations in the management of hybrid environments with data and visual services.

Intern: 
Sepideh Afshar;Ali Mollaahmadi Dehaghi;Tariq Al Shoura
Faculty Supervisor: 
Mohammad Moshirpour
Province: 
Alberta
Partner: 
Partner University: 
Program: