CliqueStream: an efficient and fault-resilient live streaming network on a clustered peer-to-peer overlay

Several overlay-based live multimedia streaming platforms have been proposed in the recent peer-to-peer streaming literature. In most of the cases, the overlay neighbors are chosen randomly for robustness of the overlay. However, this causes nodes that are distant in terms of proximity in the underlying physical network to become neighbors, and thus data travels unnecessary distances before reaching the destination. For efficiency of bulk data transmission like multimedia streaming, the overlay neighborhood should resemble the proximity in the underlying network. In this paper, we exploit the proximity and redundancy properties of a recently proposed clique-based clustered overlay network, named eQuus, to build efficient as well as robust overlays for multimedia stream dissemination. To combine the efficiency of content pushing over tree structured overlays and the robustness of data-driven mesh overlays, higher capacity stable nodes are organized in tree structure to carry the long haul traffic and less stable nodes with intermittent presence are organized in localized meshes. The overlay construction and fault-recovery procedures are explained in details. Simulation study demonstrates the good locality properties of the platform. The outage time and control overhead induced by the failure recovery mechanism are minimal as demonstrated by the analysis.Comment: 10 page

Video-Streaming Overlays

This Chapter goes into the details of benchmarking peer-to-peer video streaming systems. We present aspects and techniques that help comparing and analyzing such systems. Video streaming systems have the main task of delivering video content to users. The video content can be presented on various types of devices, such as TV sets, computer systems, and smart phones. The availability of many types of architectures for streaming makes it of essence to define benchmarks and tools to evaluate them. This Chapter addresses these issues along with definitions of metrics and requirements that help in better comparing peer-to-peer streaming systems. The Chapter is organized as follows. First, we present the non-functional requirements peer-to-peer video streaming systems have to consider. Then we present the workload used to benchmark our video streaming system. This is followed by definition of most important metrics for such systems. Then we present an example implementation that ha..