论文标题

衡量COVID-19导致的区域网络流量的变化

Measuring Changes in Regional Network Traffic Due to COVID-19 Stay-at-Home Measures

论文作者

Mirkovic, Jelena, Feng, Yebo, Li, Jun

论文摘要

在Covid-19病毒引起的2020年大流行期间,许多国家采取了全家衡量的措施,这导致许多企业和学校从面对面转变为在线运营方式。我们分析了中型美国区域光学网络上的采样NetFlow记录,以量化由于该地区的全家衡量标准而引起的网络流量的变化。我们发现,网络中的人类驱动流量减少到70%左右,大部分转移到本地ISP,而VPN和在线会议交通则增加了5倍。我们还发现,网络采用各种在线会议解决方案,并偏爱一种解决方案,但继续使用其他一些解决方案。我们发现,教育和政府机构经历了巨大的交通变化,但旨在通过增加在线会议来保持其生产力。一些科学流量也可能导致研究生产力降低。企业大多会失去流量,很少有VPN或在线会议活动。大多数网络前缀都经历了大量的现场地址损失,但少数增加了它们的痛苦。我们还发现网络攻击的发生率增加。我们的发现可以帮助计划网络的供应和管理,为未来可能的感染暴发和自然灾害做准备。

During the 2020 pandemic caused by the COVID-19 virus, many countries implemented stay-at-home measures, which led to many businesses and schools moving from in-person to online mode of operation. We analyze sampled Netflow records at a medium-sized US Regional Optical Network to quantify the changes in the network traffic due to stay-at-home measures in that region. We find that human-driven traffic in the network decreases to around 70%, and mostly shifts to local ISPs, while VPN and online meeting traffic increases up to 5 times. We also find that networks adopt a variety of online meeting solutions and favor one but continue using a few others. We find that educational and government institutions experience large traffic changes, but aim to keep their productivity via increased online meetings. Some scientific traffic also reduces possibly leading to loss of research productivity. Businesses mostly lose their traffic and few show VPN or online meeting activity. Most network prefixes experience large loss of live addresses but a handful increase their liveness. We also find increased incidence of network attacks. Our findings can help plan network provisioning and management to prepare for future possible infection outbreaks and natural disasters.

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