Sampling Bias in BitTorrent Measurements
Sampling Bias in BitTorrent Measurements
复制标题
BitTorrent 测量中的采样偏差
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
H. Sips
中科院分区：
文献类型：
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作者：
Boxun Zhang;A. Iosup;J. Pouwelse;D. Epema;H. Sips
真实世界的测量在理解BitTorrent的特性和改进BitTorrent的操作方面发挥着重要作用，BitTorrent是目前流行的互联网应用程序。就像测量互联网一样，BitTorrent网络的复杂性和规模使得单一的完整测量变得不切实际。虽然大量的测量已经采用了不同的采样技术来研究BitTorrent网络的部分，但到目前为止，还没有调查他们的采样偏差，也就是说，他们客观地代表BitTorrent特征的能力。在这项工作中，我们提出了第一次研究的采样偏差BitTorrent测量。我们首先介绍一种新的分类来源的采样偏差BitTorrent测量。然后，我们调查了2004年和2009年之间完成的15个长期BitTorrent测量的采样，发现不同的数据源和测量技术可以导致显着不同的测量结果。最后，我们制定了三个建议，以改善未来的BitTorrent测量的设计，并估计在实践中使用这些建议的成本。
Real-world measurements play an important role in understanding the characteristics and in improving the operation of BitTorrent, which is currently a popular Internet application. Much like measuring the Internet, the complexity and scale of the BitTorrent network make a single, complete measurement impractical. While a large number of measurements have already employed diverse sampling techniques to study parts of BitTorrent network, until now there exists no investigation of their sampling bias, that is, of their ability to objectively represent the characteristics of BitTorrent. In this work we present the first study of the sampling bias in BitTorrent measurements. We first introduce a novel taxonomy of sources of sampling bias in BitTorrent measurements. We then investigate the sampling among fifteen longterm BitTorrent measurements completed between 2004 and 2009, and find that different data sources and measurement techniques can lead to significantly different measurement results. Last, we formulate three recommendations to improve the design of future BitTorrent measurements, and estimate the cost of using these recommendations in practice.