在数据包缓冲区中测量PLP时,设置最大采样率的上限

A. Wahid, J. Schormans
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引用次数: 4

摘要

网络采样是估计网络参数的关键。最近的开创性工作提出,理论上可以推导出抽样率的上限。在本文中,我们通过仿真探讨了在给定固定样本数量的情况下,用于估计丢包概率的最大采样率。我们的结果表明,采样率与测量精度之间有很强的关系。在给定固定样本数量的特定网络场景下,我们找到了最优PLP测量的最大采样率。这项工作的一个重要应用领域是某些基于测量的准入控制场景,其中更快的测量是重要的。
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Bounding the maximum sampling rate when measuring PLP in a packet buffer
Network Sampling is vital for estimating network parameters. Recent seminal work has proposed that there are theoretically derived upper limits to sampling rate. In this paper we explore the maximum sampling rate to use for estimating packet loss probability given a fixed number of samples, by simulation. Our results show that there is a strong relationship between the sampling rate and the accuracy of measurement. We find the maximum sampling rate for optimal measurement of PLP for specific network scenarios given a fixed number of samples. An important area of application of this work is certain Measurement Based Admission Control scenarios, where faster measurement is important.
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