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Performance Analysis of BitTorrent-Like P2P Networks for Video Streaming Services at the Chunk Level

机译:块级用于视频流服务的类似BitTorrent的P2P网络的性能分析

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Peer-to-Peer (P2P) networks are distributed systems where no central authority rules the behavior of the individual peers. These systems rely on the voluntary participation of the peers to help each other and reduce congestion at the data servers. BitTorrent is a popular file-sharing P2P application originally designed for non real-time data. Given the inherent characteristics of these systems, they have been considered to alleviate part of the traffic in conventional networks, particularly for streaming stored playback Video-on-Demand services. In this work, two strategies for implementing a streaming service for stored playback video are presented and studied through simulations at the chunk level. First, a window-based peer selection strategy for P2P networks is proposed that greatly improves the chunk sharing process for such video services. The basic idea is to select the downloader peers according to their progress in the download process. Second, a priority scheme is proposed and analyzed that benefits the peers that are more likely to remain longer in the system by serving them first. The simulation model offers complementary results to the conventional fluid or Markovian models.
机译:对等(P2P)网络是分布式系统,其中没有中央权限来控制各个对等方的行为。这些系统依靠对等方的自愿参与来互相帮助并减少数据服务器上的拥塞。 BitTorrent是一种流行的文件共享P2P应用程序,最初设计用于非实时数据。考虑到这些系统的固有特性,它们被认为可以减轻传统网络中的部分流量,尤其是对于流存储的回放点播视频服务而言。在这项工作中,提出并通过块级仿真研究了两种为存储的回放视频实现流服务的策略。首先,提出了一种用于P2P网络的基于窗口的对等点选择策略,该策略大大改善了此类视频服务的组块共享过程。基本思想是根据下载过程中的下载者对等体来选择它们。其次,提出并分析了一种优先级方案,该方案通过首先为对等方提供服务,使他们更有可能在系统中保持更长的时间。仿真模型提供了与常规流体或马尔可夫模型互补的结果。

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