Receiver-driven layered multicast
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Experience with control mechanisms for packet video in the internet
ACM SIGCOMM Computer Communication Review
PLM: fast convergence for cumulative layered multicast transmisson schemes
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Source-adaptive multilayered multicast algorithms for real-time video distribution
IEEE/ACM Transactions on Networking (TON)
Towards TCP-Friendly Adaptive Multimedia Applications Based on RTP
ISCC '99 Proceedings of the The Fourth IEEE Symposium on Computers and Communications
Layered quality adaptation for Internet video streaming
IEEE Journal on Selected Areas in Communications
Video multicast over the Internet
IEEE Network: The Magazine of Global Internetworking
Joint Adoption of QoS Schemes for MPEG Streams
Multimedia Tools and Applications
Evaluation of streaming MPEG video over wireless channels
Journal of Mobile Multimedia
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Multicast multi-layered communications must implement efficient control algorithms to address undesirable network behaviors. This paper proposes two multi-metric algorithms for computing the rates of the video layers and improve the global video quality of a multicast session. In fact, we show that a single-metric approach may degrade some network parameters without obtaining any substantial improvements. Our first algorithm combines three metrics and a set of weights in such a way that one metric can be prioritized. This leads to an improved quality of multicast sessions, as we show through a number of experiments. In networks where the available resources are highly variable, however, the stability of the video quality is compromised if absolute values of the metrics are adopted. We then propose a second algorithm that uses the relative values of the metrics on a per-entry basis Computation of the global quality of the multicast session is based on a differential matrix that stores the metrics for each receiver. This scheme takes into account the dynamics of the available resources and the heterogeneity of receivers. The great benefit of this approach is that the global video quality is always improved for every loop of the algorithm.