时间编织:机会的单向延迟测量通过NTP

Ramakrishnan Durairajan, Sathiya Kumaran Mani, P. Barford, R. Nowak, J. Sommers
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引用次数: 8

摘要

终端主机之间的单向延迟(OWD)对Internet应用程序、协议和基于测量的分析具有重要意义。我们描述了一种通过被动测量网络时间协议(NTP)流量来识别owd的新方法。NTP流量提供了一个机会,可以准确地、连续地从Internet上的主机测量时延。基于对NTP实施和现场行为的详细检查,我们开发了一个我们称之为TimeWeaver的分析工具,它可以评估NTP的OWD测量的精度和准确性。我们将TimeWeaver应用于从位于美国的19台服务器收集的约1TB的NTP流量语料库,并报告主机及其相关owd的特征,我们在精度/准确性层次结构中对其进行分类。为了演示这些度量的效用,我们应用迭代硬阈值奇异值分解来估计层次结构中最高层任意主机之间缺失的owd。我们表明,这种方法可以非常准确地估计缺失的owd,平均错误率小于2%。
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TimeWeaver: Opportunistic One Way Delay Measurement Via NTP
One-way delay (OWD) between end hosts has important implications for Internet applications, protocols, and measurement-based analyses. We describe a new approach for identifying OWDs via passive measurement of Network Time Protocol (NTP) traffic. NTP traffic offers the opportunity to measure OWDs accurately and continuously from hosts throughout the Internet. Based on detailed examination of NTP implementations and in-situ behavior, we develop an analysis tool that we call TimeWeaver, which enables assessment of precision and accuracy of OWD measurements from NTP. We apply TimeWeaver to a ~1TB corpus of NTP traffic collected from 19 servers located in the US and report on the characteristics of hosts and their associated OWDs, which we classify in a precision/accuracy hierarchy. To demonstrate the utility of these measurements, we apply iterative hard-threshold singular value decomposition to estimate the missing OWDs between arbitrary hosts from the highest tier in the hierarchy. We show that this approach results in highly accurate estimates of missing OWDs, with average error rates on the order of less than 2%.
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