封锁效应:COVID-19大流行对互联网流量的影响

A. Feldmann, Oliver Gasser, F. Lichtblau, Enric Pujol-Gil, Ingmar Poese, C. Dietzel, Daniel Wagner, M. Wichtlhuber, J. Tapiador, N. Vallina-Rodriguez, O. Hohlfeld, Georgios Smaragdakis
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引用次数: 163

摘要

由于COVID-19大流行,许多国家的政府实施了封锁,迫使数亿公民呆在家里。限制措施的实施增加了住宅用户的互联网流量需求,特别是远程工作、娱乐、商业和教育,这导致了互联网核心的流量转移。在本文中,我们使用来自不同有利位置(一个ISP,三个ixp和一个大都市教育网络)的数据,研究了这些封锁对交通变化的影响。我们发现,几乎在一周内,交通流量增长了15-20%——虽然总体上仍然不大,但在这么短的时间内,这是一个很大的增长。然而,尽管出现了这种激增,我们观察到互联网基础设施能够处理新的流量,因为大多数流量变化发生在传统的高峰时间之外。当直接查看流量来源时,事实证明,虽然超级巨头仍然贡献了很大一部分流量,但我们看到(1)非超级巨头的流量增加了更多,以及(2)人们在家使用的应用程序(如Web会议、VPN和游戏)的流量增加了。虽然许多网络的流量需求增加,特别是那些为住宅用户提供服务的网络,但学术网络的流量总体上大幅下降。然而,在这些网络中,当考虑到与远程工作和授课相关的应用程序时,我们可以观察到实质性的增长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic
Due to the COVID-19 pandemic, many governments imposed lock-downs that forced hundreds of millions of citizens to stay at home. The implementation of confinement measures increased Internet traffic demands of residential users, in particular, for remote working, entertainment, commerce, and education, which, as a result, caused traffic shifts in the Internet core. In this paper, using data from a diverse set of vantage points (one ISP, three IXPs, and one metropolitan educational network), we examine the effect of these lockdowns on traffic shifts. We find that the traffic volume increased by 15-20% almost within a week---while overall still modest, this constitutes a large increase within this short time period. However, despite this surge, we observe that the Internet infrastructure is able to handle the new volume, as most traffic shifts occur outside of traditional peak hours. When looking directly at the traffic sources, it turns out that, while hypergiants still contribute a significant fraction of traffic, we see (1) a higher increase in traffic of non-hypergiants, and (2) traffic increases in applications that people use when at home, such as Web conferencing, VPN, and gaming. While many networks see increased traffic demands, in particular, those providing services to residential users, academic networks experience major overall decreases. Yet, in these networks, we can observe substantial increases when considering applications associated to remote working and lecturing.
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