Reduce bandwidth in live-streaming by cooperative edge relay networks

Abstract

Live-streaming and particular live video-streaming are becoming increasingly popular as a multimedia-service. More and more types of content and events are live-streamed. Live video-streaming has shown to be a useful tool in the case of pandemic outbursts such as Covid-19. As people should use social distancing, live video-streaming can give people the ability to simulate conventional social contact. Streaming in general, consumes much bandwidth. During the pandemic of Covid-19, several streaming providers had to reduce their streaming quality to meet the increased demand for bandwidth for their streaming content. This thesis present Cedge, a system that aims to reduce the massive amounts of bandwidth that live video-streaming use. Reducing bandwidth for live videostream should also reduce the Internet Service Providers (isps) and content providers Total Cost of Ownership (tco). Cedge aims to reduce the bandwidth by incorporating edge nodes in a Peer-to-Peer (p2p) overlay network, and organize client connections with different substructure architectures. Our experimental implementation of Cedge shows that there are potential to reduce bandwidth with several order of magnitude for live video-streams.