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The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic (2008.10959v3)

Published 25 Aug 2020 in cs.NI and cs.CY

Abstract: 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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Authors (12)
  1. Anja Feldmann (30 papers)
  2. Oliver Gasser (34 papers)
  3. Franziska Lichtblau (3 papers)
  4. Enric Pujol (1 paper)
  5. Ingmar Poese (10 papers)
  6. Christoph Dietzel (5 papers)
  7. Daniel Wagner (7 papers)
  8. Matthias Wichtlhuber (2 papers)
  9. Juan Tapiador (13 papers)
  10. Narseo Vallina-Rodriguez (20 papers)
  11. Oliver Hohlfeld (34 papers)
  12. Georgios Smaragdakis (23 papers)
Citations (180)

Summary

An Analytical Perspective on COVID-19's Impact on Internet Traffic

The paper "The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic" presents a detailed examination of shifts in internet traffic caused by the global COVID-19 pandemic, drawing data from a variety of vantage points including ISPs, IXPs, and an educational network. Expertly crafted by a team of researchers from several renowned institutions, the paper navigates through the unprecedented changes in digital demand during the pandemic lockdowns and offers insights into how the internet infrastructure adapted to such a drastic alteration in usage patterns.

Overview of Traffic Shifts

Employing data from a major ISP in Central Europe and IXPs in Europe and the US, the paper documents distinct traffic changes necessitated by pandemic lockdowns. With a swift traffic volume increase of 15-20% within a few weeks, residential internet demands soared, driven largely by remote work, entertainment, commerce, and education. Remarkably, despite these changes, the internet core demonstrated robustness, maintaining stability with most traffic hikes occurring outside traditional peak hours.

Comparative Traffic Analysis

A notable observation is the divergence in traffic growth between hypergiants—major content providers like Google and Facebook—and smaller ASes. While hypergiants continued to account for substantial traffic increases, the paper reveals a higher percentage increase in traffic for non-hypergiants, highlighting the expanded utilization of applications necessary for remote working such as VPNs and conferencing tools. This phenomenon indicates a shift towards a more diversified internet traffic landscape, away from content-centric consumption.

Infrastructure and Patterns

A consequential impact of the pandemic is observed on the link utilization across various networks, with notable capacity upgrades recorded, particularly among IXP members. Furthermore, the research details a pronounced shift in usage patterns; an evolving similarity between workday and weekend internet traffic patterns is documented, aligning with the global shift to remote work and schooling.

Focus on Application Port Analysis

The paper explores transport-layer analysis, presenting revealing alterations in the application port distribution. This analysis unravels significant increases in VPN traffic as individuals transitioned to home-based work settings. Notably, traditional VPN protocols saw decreased traffic while domain-based VPN identification reported substantial growth, underscoring the inadequacy of port-based VPN classification to fully capture this shift.

Educational Networks Experience

The paper enriches the discussion by examining the traffic impact on academic networks, highlighting a sharp traffic volume decline due to campus closures accompanied by an inversion in ingress vs. egress traffic ratios. This analysis underscores the distinct nature of changes in educational settings compared to residential or commercial networks, characterized by increased reliance on remote work applications.

Concluding Insights

Through meticulous analysis, the paper concludes that the internet, despite a once-in-a-generation shift in usage induced by COVID-19, continued to function effectively, accommodating increased demands. This adaptability speaks to the inherent resilience of the internet's infrastructure, shaped by years of improvements in network automation and cloud service integration. Going forward, the findings stress the need for continued investment in scalable digital solutions to ensure readiness for future, unforeseen shifts in user behavior.

By leveraging comprehensive data and adopting diverse analytical lenses, this paper serves as a crucial resource for understanding the immediate effects and broader implications of the COVID-19 pandemic on internet traffic and infrastructure. It invites further exploration into the adaptive strategies that underpin the internet's continued operation under stress, highlighting areas for potential innovation in the digital resilience domain.