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Validation and Improvement of the Lossy Difference Aggregator to Measure Packet Delays

机译:验证和改进损失差分聚合器测量分组延迟

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One-way packet delay is an important network performance metric. Recently, a new data structure called Lossy Difference Aggregator (LDA) has been proposed to estimate this metric more efficiently than with the classical approaches of sending individual packet timestamps or probe traffic. This work presents an independent validation of the LDA algorithm and provides an improved analysis that results in a 20% increase in the number of packet delay samples collected by the algorithm. We also extend the analysis by relating the number of collected samples to the accuracy of the LDA and provide additional insight on how to parametrize it. Finally, we extend the algorithm to overcome some of its practical limitations and validate our analysis using real network traffic.
机译:单向数据包延迟是一个重要的网络性能度量。最近,已经提出了一种新的数据结构,被提出了比发送单个分组时间戳或探测流量的经典方法更有效地估计该度量的新数据结构。这项工作介绍了LDA算法的独立验证,提供了改进的分析,导致算法收集的分组延迟样本的数量增加20%。我们还通过将收集的样本数量与LDA的准确性相关联来扩展分析,并为如何参加载玻片提供额外的洞察。最后,我们扩展了算法以克服其一些实际限制并使用真实网络流量验证我们的分析。

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