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Streaming videos over BitTorrent by balancing playback continuity and distribution of piece rareness

机译:通过平衡播放连续性和分布rarence,通过BitTorrent流媒体视频

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In recent years, the BitTorrent (BT) has been one of the most efficient mechanisms for Peer-to-Peer (P2P) non-realtime content distribution. Many approaches for streaming videos over BitTorrent have been proposed by modifying the piece selection policy to cope with the real time requirement. Most of them provide the continuity of video playback at the cost of the variety of pieces on P2P streaming networks. In this paper, we propose the novel urgency-aware BT streaming mechanism, called UR-Aware, which intends to enhance the video streaming efficiency over BitTorrent on P2P networks by balancing playback continuity and distribution of piece rareness. There are two sets for piece downloading, called Uset and Rset. The Uset contains the most urgent pieces of video playback, while the Rset contains the rarest pieces. Downloading bandwidth of a peer is dynamically allocated to the two sets based on the number of consecutive pieces beyond the playback position in Uset. Furthermore, to implicitly preserve the continuity of pieces for future playback, consecutive k pieces are grouped as a section which would be selected to insert into Rset based on its rareness. The experimental results showed that the UR-Aware has the best performance among other BT streaming approaches in terms of video download time and piece late rate.
机译:近年来,BitTorrent(BT)是点对点(P2P)非实时内容分发的最有效机制之一。通过修改部分选择策略以应对实时要求,提出了通过BitTorrent流媒体传输视频的许多方法。它们中的大多数提供了以P2P流网络的各种碎片的成本提供视频播放的连续性。在本文中,我们提出了一种新的紧急感知BT流式传输机制,称为UR-Aware,该机制旨在通过平衡播放连续性和碎片分布来增强P2P网络上的BitTorrent上的视频流效率。片段下载有两套,称为USET和RSET。 USET包含最紧急的视频播放,而RSET包含最稀有的碎片。基于USET中重放位置的连续碎片的数量,将对等体的带宽动态分配给两组。此外,为了隐含地保留用于将来播放的片断的连续性,将连续的k片被分组为基于其rarence选择以选择插入RSET的部分。实验结果表明,在视频下载时间和后期速率方面,UR-Aware在其他BT流方法中具有最佳性能。

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