A Comparison of Poisson and Uniform Sampling for Active Measurements
A Comparison of Poisson and Uniform Sampling for Active Measurements
复制标题
主动测量的泊松采样和均匀采样的比较
DOI：
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发表时间：
2006
影响因子：
16.4
通讯作者：
M. Roughan
中科院分区：
文献类型：
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作者：
M. Roughan
网络性能的主动探测代表系统底层性能的样本。已经做出了一些努力来考虑此类探针的适当采样模式，即，对使用泊松过程采样以避免系统和测量同步引入的偏差的重要性进行了重要讨论。然而，关于泊松探测是否在采样效率方面存在成本，还存在一些悬而未决的问题，并且关于不同探测模式可以进行哪些类型的推断存在一些错误信息。本文对两种不同的采样方法进行了定量比较。本文还表明，探测模式的不规则性不仅有助于避免同步，而且有助于确定系统的频域特性。本文为从业者或研究人员提供了坚实的基础，帮助他们决定在特定应用中应使用的采样类型，以及分析其输出的方法
Active probes of network performance represent samples of the underlying performance of a system. Some effort has gone into considering appropriate sampling patterns for such probes, i.e., there has been significant discussion of the importance of sampling using a Poisson process to avoid biases introduced by synchronization of system and measurements. However, there are unanswered questions about whether Poisson probing has costs in terms of sampling efficiency, and there is some misinformation about what types of inferences are possible with different probe patterns. This paper provides a quantitative comparison of two different sampling methods. This paper also shows that the irregularity in probing patterns is useful not just in avoiding synchronization, but also in determining frequency-domain properties of a system. This paper provides a firm basis for practitioners or researchers for making decisions about the type of sampling they should use in a particular applications, along with methods for the analysis of their outputs