An analytical approach to model adaptive video streaming and delivery
An efficient and practical technique for robust and scalable distribution of multimedia content is the key to satisfy a large group of peers' needs endowed with limited network resources. Given a video source, a group of intended destination peers and heterogeneous network resources, the challenge is to distribute the content among these peers to ensure the best quality of experience using Peer-to-Peer (P2P) paradigm. In the literature, there exists some promising solutions to address this issue; however, without an optimal solution it is hard to judge the efficiency of the existing protocols. In this paper, we present a mathematical model to represent an adaptive video streaming architecture for peer-to-peer networks and social networking. The model encompasses multiple-parent resource contribution in terms of bandwidth and CPU power. We also present a performance analysis which illustrates the trade-offs in service fairness and system efficiency.
Integer linear programming, Peer-to-peer streaming, Video adaptation
Iqbal, Razib, and Shervin Shirmohammadi. "An analytical approach to model adaptive video streaming and delivery." In Proceedings of the 2010 ACM workshop on Advanced video streaming techniques for peer-to-peer networks and social networking, pp. 55-58. 2010.
AVSTP2P'10 - Proceedings of the 2010 ACM Workshop on Advanced Video Streaming Techniques for Peer-to-Peer Networks and Social Networking, Co-located with ACM Multimedia 2010