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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.
Faculty Supervisor:
Mohammad Moshirpour
Student:
Partner:
Userful
Discipline:
Engineering
Sector:
Professional, scientific and technical services
University:
University of Calgary
Program:
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.