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On Large Scale Peer-To-Peer Video Streaming: Experiments and Empirical Studies

机译:大规模对等视频流:实验和实证研究

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It is an attractive idea to spread real time media using peer-to-peer method, however nobody knows if this technology can really deliver real time media to large number of users in global scale. This paper presents an empirical study on CoolStreaming, a data-driven overlay network for live media streaming. The core operations in CoolStreaming are very simple: every node periodically exchanges data availability information with a set of partners, and retrieves unavailable data from one or more partners, or supplies available data to partners. We have extensively evaluated the performance of CoolStreaming over real Internet environment. Our experiments, involving more than 10,000 real users, demonstrate that CoolStreaming can achieve quite good streaming quality even under global scaled, formidable network conditions. Meanwhile, we present several interesting observations from these large-scale tests. Finally, we try to predict some directions to the future of p2p media streaming
机译:使用点对点方法传播实时媒体是一个有吸引力的想法,但没有人知道这项技术是否可以在全球范围内真正将实时媒体提供实时媒体。 本文提出了一种对酷光线的实证研究,一种用于实时媒体流的数据驱动的叠加网络。 CoolStreaming中的核心操作非常简单:每个节点会周期性地与一组合作伙伴交换数据可用性信息,并从一个或多个合作伙伴中检索不可用的数据,或将可用数据提供给合作伙伴。 我们广泛地评估了在真正的互联网环境上进行了酷炫的性能。 我们的实验涉及超过10,000名真实的用户,表明即使在全球缩放,强大的网络条件下也可以实现凉爽的流质量。 同时,我们从这些大规模测试中提出了几个有趣的观察。 最后,我们尝试预测P2P媒体流的未来的某些方向

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