Low latency, robust and reliable multi-party interactive live video streaming

A multi-party live video communication, such as live tutorials and fitness classes, are an emerging application which involves a large number of users from different places with heterogeneous network conditions like 3G/4G/5G or Wi-Fi networks. Video Content/Service providers usually deploy their Content Delivery Networks (CDNs) over the public Internet to avoid expenses of dedicated connectivity. Thus, they often seek solutions to provide seamless services over the changing conditions of Internet that can introduce packet error, packet loss, or out-of-order packets. However, existing solutions neither scale well with the number of users nor adapt to diverse network conditions of users that require the same video to be streamed in different bitrates depending on user network condition. In this project, we will develop error detection and correction with retransmissions techniques for low-latency multi-party live video streaming. Moreover, we will devise a prediction-driven proactive CDN server scaling and placement algorithm in which CDN servers are spawned/teared down dynamically according to users’ demand change.

Faculty Supervisor:

Nashid Shahriar

Student:

Partner:

Cya Live

Discipline:

Computer science

Sector:

Information and cultural industries

University:

University of Regina

Program: