Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-12014
For citation please use:
Main Title: A Year in Lockdown: How the Waves of COVID-19 Impact Internet Traffic
Author(s): Feldmann, Anja
Gasser, Oliver
Lichtblau, Franziska
Pujol, Enric
Poese, Ingmar
Dietzel, Christoph
Wagner, Daniel
Wichtlhuber, Matthias
Tapiador, Juan
Vallina-Rodriguez, Narseo
Hohlfeld, Oliver
Smaragdakis, Georgios
Type: Article
Language Code: en
Abstract: In March 2020, the World Health Organization declared the COVID-19 outbreak a global pandemic. As a result, billions of people were either encouraged or forced by their governments to stay home to reduce the spread of the virus. This caused many to turn to the Internet for work, education, social interaction, and entertainment. With the Internet demand rising at an unprecedented rate, the question of whether the Internet could sustain this additional load emerged. To answer this question, this paper will review the the impact of the first year of the COVID-19 pandemic on Internet traffic in order to analyze its performance. In order to keep our study broad, we collect and analyze Internet traffic data from multiple locations at the core and edge of the Internet. From this, we characterize how traffic and application demands change, to describe the "new normal", and explain how the Internet reacted during these unprecedented times.
URI: https://depositonce.tu-berlin.de/handle/11303/13219
http://dx.doi.org/10.14279/depositonce-12014
Issue Date: Jun-2021
Date Available: 10-Jun-2021
DDC Class: 000 Informatik, Informationswissenschaft, allgemeine Werke
Subject(s): internet measurement
internet traffic
COVID-19
traffic shifts
Sponsor/Funder: BMBF, 01IS18025A, Verbundprojekt BIFOLD-BBDC: Berlin Institute for the Foundations of Learning and Data
BMBF, 01IS18037A, Verbundprojekt BIFOLD-BZML: Berlin Institute for the Foundations of Learning and Data
BMBF, 16KIS0691, Verbundprojekt: 5G Lösungen für die vernetzte Mobilität der Zukunft - 5GNetMobil -; Teilvorhaben: Zuverlässige, kognitive und agile Kommunikationslösungen für die taktil vernetzte Mobilität
BMBF, 16KIS0975K, KMU-innovativ-Verbundprojekt: Artificial Intelligence-based DDoS Mitigation at Internet Exchange Points - AIDOS -; Teilvorhaben: Data-Driven IXP DDoS Mitigation
BMBF, 16KIS0976, KMU-innovativ-Verbundprojekt: Artificial Intelligence-based DDoS Mitigation at Internet Exchange Points - AIDOS -; Teilvorhaben: Statistical AI-based DDoS Detection
EC/H2020/679158/EU/Resolving the Tussle in the Internet: Mapping, Architecture, and Policy Making/ResolutioNet
License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Communications of the ACM
Publisher: Association for Computing Machinery (ACM)
Publisher Place: New York, NY
EISSN: 1557-7317
Appears in Collections:FG Internet Measurement and Analysis (IMA) » Publications

Files in This Item:
feldmann_etal_2021.pdf

Accepted manuscript

Format: Adobe PDF | Size: 2.13 MB
DownloadShow Preview
Thumbnail

Item Export Bar

This item is licensed under a Creative Commons License Creative Commons