大规模互联网流量中的新现象
网络与互联网体系结构
2023-08-29 v1 计算机与社会
分布式、并行与集群计算
社会与信息网络
摘要
互联网正在改变我们的社会，这需要对互联网流量进行定量理解。我们的团队收集并整理了规模最大的公开可用互联网流量数据集。利用MIT SuperCloud中10,000个处理器对500亿个数据包的分析揭示了一个新现象：在互联网流量中，原本不可见的叶节点与孤立链路的重要性。我们的分析进一步表明，一个双参数修正Zipf-Mandelbrot分布准确地描述了在跨越多年与多个大洲的数据集上、移动采样窗口从100,000到100,000,000个数据包的多种源/目的统计特性。所测得的模型参数可区分不同的网络流，且模型叶参数与不同底层网络拓扑中流量占比强相关。
引用
@article{arxiv.2201.06096,
title = {New Phenomena in Large-Scale Internet Traffic},
author = {Jeremy Kepner and Kenjiro Cho and KC Claffy and Vijay Gadepally and Sarah McGuire and Lauren Milechin and William Arcand and David Bestor and William Bergeron and Chansup Byun and Matthew Hubbell and Michael Houle and Michael Jones and Andrew Prout and Albert Reuther and Antonio Rosa and Siddharth Samsi and Charles Yee and Peter Michaleas},
journal= {arXiv preprint arXiv:2201.06096},
year = {2023}
}
备注
53 pages, 27 figures, 8 tables, 121 references. Portions of this work originally appeared as arXiv:1904.04396v1 which has been split for publication in the book "Massive Graph Analytics" (edited by David Bader)