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Enhancing Content Distribution Performance of Locality-Aware BitTorrent Systems

机译:增强可识别位置的BitTorrent系统的内容分发性能

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Locality-aware BitTorrent (BT) systems reduce the inter-ISP traffic by providing peers with physically close neighbors. However, they still rely on randomized optimistic unchoking, leaving a design space for performance improvement. In this paper, we propose a biased optimistic unchoking mechanism called PicBou. In PicBou, a typical peer prefers to optimistically unchoke the neighbors that are physically close to it or have file pieces rarely replicated among its internal neighbors. The PicBou enables peers in the same ISPs to cooperatively get missing pieces in a prompt way, and share pieces among internal neighbors once the pieces have been downloaded into the ISPs. This feature greatly reduces the content distribution time and saves the backbone bandwidth consumption. The PicBou is simple and can be easily integrated in current locality-aware BT systems. We evaluate the performance through extensive simulations. The results show that PicBou reduces the content distribution time of locality-aware BT systems by about 20% and cuts down the inter-ISP traffic by 19-36%.
机译:位置感知的BitTorrent(BT)系统通过为对等点提供物理上紧密的邻居来减少ISP之间的流量。但是,他们仍然依靠随机的乐观解压缩,为性能改进留出了设计空间。在本文中,我们提出了一种称为PicBou的偏向乐观解扰机制。在PicBou中,典型的对等方更喜欢乐观地取消物理上与其相邻的邻居或文件碎片很少在其内部邻居之间复制的邻居。 PicBou使同一ISP中的对等方可以迅速地协作获得丢失的碎片,并在将内部碎片下载到ISP之后在内部邻居之间共享碎片。此功能大大减少了内容分发时间,并节省了骨干带宽消耗。 PicBou很简单,可以轻松地集成到当前的可感知位置的BT系统中。我们通过广泛的仿真来评估性能。结果表明,PicBou将可感知位置的BT系统的内容分发时间减少了大约20%,并将ISP间的流量减少了19-36%。

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