Abstract

Internet is evolving in both its structure and usage patterns; this work addresses two trends: i) the increasing popularity and the related generated traffic of media streaming applications and ii) the emerging of network portions following different philosophies from the rest of the internet and being characterized by a mesh topology, such as Community Networks. This thesis presents a modeling for decentralized live streaming for mesh networks based on graph theory, considering the different inter-dependent network abstractions involved. It proposes optimization strategies based on popular centrality metrics, such as betweenness and PageRank. Results on real-world datasets validate the theoretical work and the derived optimizing strategies are implemented in open-source streaming platforms.