This editorial is an outgrowth of our research efforts that resulted in the SIGCOMM'93 paper [1] entitled On the self-similar nature of Ethernet traffic. We discuss some lessons we have learned as we have watched the published findings being absorbed by the scientific community in general and the networking community in particular. We focus on aspects that have remained relevant today, especially at a time when, with the proliferation of Artificial Intelligence and Machine Learning, networking research has become increasingly data-dependent and data-driven.

中文翻译：

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“关于以太网流量的自相似性”的教训

这篇社论是我们研究工作的产物，我们的研究工作产生了 SIGCOMM'93 论文 [1]，题为关于以太网流量的自相似性。我们讨论了一些我们在观察已发表的研究结果被整个科学界特别是网络界吸收时学到的一些经验教训。我们专注于今天仍然相关的方面，特别是在人工智能和机器学习的普及，网络研究变得越来越依赖数据和数据驱动的时候。