通过覆盖自适应提高P2P直播视频流的吞吐量和节点接近度

B. Biskupski, R. Cunningham, R. Meier
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引用次数: 11

摘要

由于环境的异质性,其中主机可能具有不同的带宽容量和主机之间的网络距离不同,目前基于网格的多播协议在互联网上的视频流往往不能有效地利用可用带宽,并且经常在远程主机之间传输大量数据。这限制了系统吞吐量,从而导致视频质量降低,并且由于提供商自己网络之外的网络流量而给互联网服务提供商(isp)带来了巨大的成本。本文提出了MeshTV,一种基于网格的点对点(P2P)多播协议,用于从发射机向众多观众传输实时视频。MeshTV提出了一种适应网格覆盖的算法,其中节点探索其可能的邻居节点并选择邻居,从而优化数据吞吐量,并在附近(低延迟)节点之间传输数据,通常在同一ISP内,从而降低ISP的成本。我们的评估表明,与未优化的网格覆盖相比,MeshTV中使用的自适应算法可以将视频流吞吐量提高100%以上,并且通常可以将交互节点之间的距离(网络延迟)减少50%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving Throughput and Node Proximity of P2P Live Video Streaming through Overlay Adaptation
Due to the heterogeneity of the environment, in which hosts may have different bandwidth capacities and network distances between hosts vary, current mesh-based multicast protocols for video streaming over the Internet tend to in efficiently utilise the available bandwidth and often transfer large amounts of data between distant hosts. This limits system throughput, which results in reduced video quality, and imposes significant costs on Internet service providers (ISPs) caused by network traffic outside a provider's own network. This paper presents MeshTV, a mesh-based peer-to-peer (P2P) multicast protocol for streaming live video from a transmitter to numerous viewers. MeshTV proposes an algorithm for adapting the mesh overlay in which nodes explore their possible neighbour nodes and select neighbours so that data throughput is optimised and data is transmitted between nearby (low-latency) nodes, typically within the same ISP thus reducing the costs to ISPs. Our evaluation demonstrates that the adaptation algorithm used in MeshTV can improve video streaming throughput by over 100 % and typically reduces the distances (network latencies) between interacting nodes by 50 % compared to unoptimised mesh overlays.
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