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Multi-channel live P2P streaming: Refocusing on servers

机译:多频道直播p2p流媒体:重新聚焦服务器

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摘要

Due to peer instability and time-varying peer up-load bandwidth availability in live peer-to-peer (F2P) streaming channels, it is preferable to provision adequate levels of stable upload capacities at dedicated streaming servers, in order to guarantee the streaming quality in all channels. Most commercial P2P streaming systems have resorted to the practice of over-provisioning upload capacities on streaming servers. In this paper, we have performed a detailed analysis on 400 GB and 7 months of run-time traces from UUSee, a commercial P2P streaming system, and observed that available capacities on streaming servers are not able to keep up with the increasing demand imposed by hundreds of channels. We propose a novel online server capacity provisioning algorithm that proactively adjusts the server capacities available to each of the concurrent channels, such that the supply of server bandwidth in each channel dynamically adapts to the forecasted demand, taking into account the number of peers, the streaming quality, and the priorities of channels. The algorithm is able to learn over time, and has full ISP awareness to maximally constrain P2P traffic within ISP boundaries. To evaluate the effectiveness of our solution, our experimental studies are based on an implementation of the algorithm with actual channels of P2P streaming traffic, with real-world traces replayed within a server cluster. © 2008 IEEE.
机译:由于实时对等(F2P)流通道中的对等不稳定和随时间变化的对等上传带宽可用性,最好在专用流服务器上提供足够级别的稳定上载容量,以确保流质量在所有渠道中。大多数商用P2P流媒体系统都采用了在流媒体服务器上过度配置上载容量的做法。在本文中,我们对来自商用P2P流系统UUSee的400 GB和7个月的运行时跟踪进行了详细的分析,并观察到流服务器上的可用容量无法满足日益增长的需求。数百个频道。我们提出了一种新颖的在线服务器容量配置算法,该算法可主动调整可用于每个并发通道的服务器容量,以使每个通道中服务器带宽的供应动态地适应预测的需求,同时考虑对等点的数量,流式传输质量以及渠道的优先顺序。该算法能够随着时间的流逝而学习,并且具有完整的ISP意识,可以最大程度地将P2P流量限制在ISP边界内。为了评估我们解决方案的有效性,我们的实验研究基于该算法的实现,该算法具有P2P流传输流量的实际通道,并在服务器群集中重播了真实的踪迹。 ©2008 IEEE。

著录项

  • 作者

    Wu, C; Li, B; Zhao, S;

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  • 年度 2008
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  • 原文格式 PDF
  • 正文语种 eng
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