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The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic Oliver Gasser, Max Planck Institute for Informatics Virtual 27-30 Oct 2020 RIPE81 Meeting COVID-19 and the Internet COVID-19 and the Internet 1 COVID-19 and


  1. The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic Oliver Gasser, Max Planck Institute for Informatics Š Virtual Š 27-30 Oct 2020 RIPE81 Meeting

  2. COVID-19 and the Internet

  3. COVID-19 and the Internet 1

  4. COVID-19 and the Internet The Internet is essential in all these efforts, but how well does it cope? 1

  5. Goals of this presentation • Understand the impact of the COVID-19 pandemic on different types of networks 2

  6. Goals of this presentation • Understand the impact of the COVID-19 pandemic on different types of networks • Present our results from different networks in the core and at the edge 2

  7. Goals of this presentation • Understand the impact of the COVID-19 pandemic on different types of networks • Present our results from different networks in the core and at the edge • Get to know your experience during COVID-19 2

  8. Lots of data • Edge network: Large European ISP • Core networks: 3 IXPs in Central Europe, Southern Europe, and at US East Coast • Academic network: REDIMadrid university network in Madrid

  9. Lots of data, lots of data crunchers • Edge network: Large European ISP • Core networks: 3 IXPs in Central Europe, Southern Europe, and at US East Coast • Academic network: REDIMadrid university network in Madrid Anja Feldmann Oliver Gasser Franziska Lichtblau Enric Pujol Ingmar Poese Christoph Dietzel MPII MPII MPII BENOCS BENOCS DE-CIX Daniel Wagner Matthias Wichtlhuber Juan Tapiador Narseo Vallina Oliver Hohlfeld Georgios Rodriguez Brandenburg University Smaragdakis DE-CIX DE-CIX Universidad Carlos III de of Technology Madrid IMDEA, ICSI TU Berlin, MPII

  10. Traffic changes in different networks

  11. Traffic changes from January 2019 to June 2020 1.6 ISP, Europe (>15M fixed-network lines) COVID-19 outbreak in Europe Initial responses and lockdowns 1.4 Normalized traffic volume 1.2 1.0 0.8 0.6 2019 2020 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 2 4 6 8 0 2 4 6 8 0 2 4 6 8 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 5 5 1 1 1 1 1 2 2 2 2 2 Calendar week 4

  12. Traffic changes from January 2019 to June 2020 1.6 ISP, Europe (>15M fixed-network lines) COVID-19 outbreak in Europe Initial responses and lockdowns 1.4 Normalized traffic volume 1.2 1.0 0.8 0.6 2019 2020 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 2 4 6 8 0 2 4 6 8 0 2 4 6 8 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 5 5 1 1 1 1 1 2 2 2 2 2 Calendar week Once the lockdown started the ISP saw a +30% increase in traffic which normally spans over multiple months. 4

  13. Traffic changes from January 2019 to June 2020 1.6 ISP, Europe (>15M fixed-network lines) COVID-19 outbreak in Europe IXP, Central Europe (>900 members) IXP, South Europe (>170 members) Initial responses and lockdowns 1.4 IXP, US East Coast (>250 members) Normalized traffic volume 1.2 1.0 0.8 0.6 2019 2020 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 2 4 6 8 0 2 4 6 8 0 2 4 6 8 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 5 5 1 1 1 1 1 2 2 2 2 2 Calendar week Similar behavior for the IXPs; for the IXP CE and IXP US the traffic levels remain elevated. 4

  14. Traffic changes from January 2019 to June 2020 1.6 ISP, Europe (>15M fixed-network lines) COVID-19 outbreak in Europe IXP, Central Europe (>900 members) IXP, South Europe (>170 members) Initial responses and lockdowns 1.4 IXP, US East Coast (>250 members) Mobile operator, Europe (>40M customers) Normalized traffic volume 1.2 1.0 0.8 0.6 2019 2020 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 4 6 8 0 2 2 4 6 8 0 2 4 6 8 0 2 4 6 8 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 5 5 1 1 1 1 1 2 2 2 2 2 Calendar week Once the lockdown started mobile traffic decreased measurably and increased again with the first relaxations in mid April. 4

  15. Changes in workday vs. weekend patterns at the ISP Wednesday Feb 19 1.0 Normalized traffic volume 0.8 0.6 0.4 0.2 0.0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Hour of the day 5

  16. Changes in workday vs. weekend patterns at the ISP Wednesday Feb 19 1.0 Normalized traffic volume 0.8 0.6 0.4 0.2 0.0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Hour of the day • Regular patterns • Workday: Strong increase in evening hours 5

  17. Changes in workday vs. weekend patterns at the ISP Wednesday Feb 19 1.0 Saturday Feb 22 Normalized traffic volume 0.8 0.6 0.4 0.2 0.0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Hour of the day • Regular patterns • Workday: Strong increase in evening hours • Weekend: More traffic during daytime 5

  18. Changes in workday vs. weekend patterns at the ISP Wednesday Feb 19 1.0 Saturday Feb 22 Normalized traffic volume Wednesday Mar 25 (lockdown) 0.8 0.6 0.4 0.2 0.0 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Hour of the day • Regular patterns • Workday: Strong increase in evening hours • Weekend: More traffic during daytime 5 • During lockdown: Workdays look more like weekends

  19. Changes in workday vs. weekend patterns at the ISP correct weekend wrong correct workday wrong • Classify days into workdays or weekends using traffic patterns 6

  20. Changes in workday vs. weekend patterns at the ISP correct weekend wrong correct workday wrong • Classify days into workdays or weekends using traffic patterns • Pre-lockdown: Most days are classified correctly 6

  21. Changes in workday vs. weekend patterns at the ISP correct weekend wrong correct workday wrong • Classify days into workdays or weekends using traffic patterns • Pre-lockdown: Most days are classified correctly • During lockdown: Workdays are classified as weekends 6

  22. Changes in workday vs. weekend patterns at the ISP correct weekend wrong correct workday wrong • Classify days into workdays or weekends using traffic patterns • Pre-lockdown: Most days are classified correctly • During lockdown: Workdays are classified as weekends; recovering after mid-May 6

  23. Changes in workday vs. weekend patterns: ISP vs. IXP ISP IXP } } Norm. traffic volume Sat-Sun Norm. traffic volume Sat-Sun with weekend-like pattern with weekend-like pattern Mon-Fri Mon-Fri 1.00 1.00 0.75 0.75 0.05 0.05 0.25 0.25 Norm. traffic volume Norm. traffic volume 0.00 0.00 0.00 0.00 0.25 0.25 0.05 0.05 0.75 0.75 } } 1.00 1.00 Mon-Fri Mon-Fri with workday-like pattern with workday-like pattern Sat-Sun Sat-Sun Jan 1 Feb 1 Mar 1 Apr 1 May 1 Jun 1 Jan 1 Feb 1 Mar 1 Apr 1 May 1 Jun 1 Date Date 7

  24. Changes in workday vs. weekend patterns: ISP vs. IXP ISP IXP } } Norm. traffic volume Sat-Sun Norm. traffic volume Sat-Sun with weekend-like pattern with weekend-like pattern Mon-Fri Mon-Fri 1.00 1.00 0.75 0.75 0.05 0.05 0.25 0.25 Norm. traffic volume Norm. traffic volume 0.00 0.00 0.00 0.00 0.25 0.25 0.05 0.05 0.75 0.75 } } 1.00 1.00 Mon-Fri Mon-Fri with workday-like pattern with workday-like pattern Sat-Sun Sat-Sun Jan 1 Feb 1 Mar 1 Apr 1 May 1 Jun 1 Jan 1 Feb 1 Mar 1 Apr 1 May 1 Jun 1 Date Date • At both vantage points workdays are mostly classified as weekends 7

  25. Poll Q: Did the traffic in YOUR network change during the lockdown? • Increase in traffic (more than 10%) • No significant change (0–10%) • Decrease in traffic

  26. Application-level traffic changes

  27. Classify traffic by application class • Classify based on transport ports and src/dst ASes 9

  28. Classify traffic by application class • Classify based on transport ports and src/dst ASes Base week IXP Web conf Coll. working Email VoD Gaming Social media Educational CDN u n n d i t e h r a u o u e F W T S S M T 9

  29. Classify traffic by application class • Classify based on transport ports and src/dst ASes Base week IXP Web conf Coll. working Email VoD Gaming Social media Educational CDN u n n d i t e h r a u o u e F W T S S M T • Email during working hours 9

  30. Classify traffic by application class • Classify based on transport ports and src/dst ASes Base week IXP Web conf Coll. working Email VoD Gaming Social media Educational CDN u n n d i t e h r a u o u e F W T S S M T • Email during working hours • Video, gaming, and social media during evening hours 9

  31. Classify traffic by application class • Classify based on transport ports and src/dst ASes Base week IXP Web conf Coll. working Email VoD Gaming Social media Educational CDN u n n d i t e h r a u o u e F W T S S M T • Email during working hours • Video, gaming, and social media during evening hours • Hardly any web conferencing 9

  32. Changes in application classes: Central European IXP 10

  33. Changes in application classes: Central European IXP March: • Increase in web conf., VoD, and gaming • Partial decrease in CDN and educational traffic 10

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