The Lockdown Effect: Implications of the COVID-19 Pandemic on - - PowerPoint PPT Presentation

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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


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SLIDE 1

The Lockdown Effect: Implications of the COVID-19 Pandemic on Internet Traffic

Oliver Gasser, Max Planck Institute for Informatics

RIPE81 Meeting Š Virtual Š 27-30 Oct 2020

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SLIDE 2

COVID-19 and the Internet

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SLIDE 3

COVID-19 and the Internet

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SLIDE 4

COVID-19 and the Internet

The Internet is essential in all these efforts, but how well does it cope?

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SLIDE 5

Goals of this presentation

  • Understand the impact of the COVID-19 pandemic on different types of networks

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SLIDE 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

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SLIDE 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

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SLIDE 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
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SLIDE 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

MPII

Daniel Wagner

DE-CIX

Oliver Gasser

MPII

Matthias Wichtlhuber

DE-CIX

Franziska Lichtblau

MPII

Juan Tapiador

Universidad Carlos III de Madrid

Enric Pujol

BENOCS

Narseo Vallina Rodriguez

IMDEA, ICSI

Ingmar Poese

BENOCS

Oliver Hohlfeld

Brandenburg University

  • f Technology

Christoph Dietzel

DE-CIX

Georgios Smaragdakis

TU Berlin, MPII

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SLIDE 10

Traffic changes in different networks

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SLIDE 11

Traffic changes from January 2019 to June 2020

2 4 6 8 1 1 2 1 4 1 6 1 8 2 2 2 2 4 2 6 2 8 3 3 2 3 4 3 6 3 8 4 4 2 4 4 4 6 4 8 5 5 2 2 4 6 8 1 1 2 1 4 1 6 1 8 2 2 2 2 4 2 6 2 8 Calendar week 0.6 0.8 1.0 1.2 1.4 1.6 Normalized traffic volume 2019 2020 COVID-19 outbreak in Europe Initial responses and lockdowns

ISP, Europe (>15M fixed-network lines)

4

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SLIDE 12

Traffic changes from January 2019 to June 2020

2 4 6 8 1 1 2 1 4 1 6 1 8 2 2 2 2 4 2 6 2 8 3 3 2 3 4 3 6 3 8 4 4 2 4 4 4 6 4 8 5 5 2 2 4 6 8 1 1 2 1 4 1 6 1 8 2 2 2 2 4 2 6 2 8 Calendar week 0.6 0.8 1.0 1.2 1.4 1.6 Normalized traffic volume 2019 2020 COVID-19 outbreak in Europe Initial responses and lockdowns

ISP, Europe (>15M fixed-network lines)

Once the lockdown started the ISP saw a +30% increase in traffic which normally spans over multiple months.

4

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SLIDE 13

Traffic changes from January 2019 to June 2020

2 4 6 8 1 1 2 1 4 1 6 1 8 2 2 2 2 4 2 6 2 8 3 3 2 3 4 3 6 3 8 4 4 2 4 4 4 6 4 8 5 5 2 2 4 6 8 1 1 2 1 4 1 6 1 8 2 2 2 2 4 2 6 2 8 Calendar week 0.6 0.8 1.0 1.2 1.4 1.6 Normalized traffic volume COVID-19 outbreak in Europe Initial responses and lockdowns

ISP, Europe (>15M fixed-network lines) IXP, Central Europe (>900 members) IXP, South Europe (>170 members) IXP, US East Coast (>250 members)

2019 2020

Similar behavior for the IXPs; for the IXP CE and IXP US the traffic levels remain elevated.

4

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SLIDE 14

Traffic changes from January 2019 to June 2020

2 4 6 8 1 1 2 1 4 1 6 1 8 2 2 2 2 4 2 6 2 8 3 3 2 3 4 3 6 3 8 4 4 2 4 4 4 6 4 8 5 5 2 2 4 6 8 1 1 2 1 4 1 6 1 8 2 2 2 2 4 2 6 2 8 Calendar week 0.6 0.8 1.0 1.2 1.4 1.6 Normalized traffic volume COVID-19 outbreak in Europe Initial responses and lockdowns

ISP, Europe (>15M fixed-network lines) IXP, Central Europe (>900 members) IXP, South Europe (>170 members) IXP, US East Coast (>250 members) Mobile operator, Europe (>40M customers)

2019 2020

Once the lockdown started mobile traffic decreased measurably and increased again with the first relaxations in mid April.

4

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SLIDE 15

Changes in workday vs. weekend patterns at the ISP

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 0.0 0.2 0.4 0.6 0.8 1.0 Normalized traffic volume Wednesday Feb 19

5

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SLIDE 16

Changes in workday vs. weekend patterns at the ISP

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 0.0 0.2 0.4 0.6 0.8 1.0 Normalized traffic volume Wednesday Feb 19

  • Regular patterns
  • Workday: Strong increase in evening hours

5

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SLIDE 17

Changes in workday vs. weekend patterns at the ISP

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 0.0 0.2 0.4 0.6 0.8 1.0 Normalized traffic volume Wednesday Feb 19 Saturday Feb 22

  • Regular patterns
  • Workday: Strong increase in evening hours
  • Weekend: More traffic during daytime

5

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SLIDE 18

Changes in workday vs. weekend patterns at the ISP

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 0.0 0.2 0.4 0.6 0.8 1.0 Normalized traffic volume Wednesday Feb 19 Saturday Feb 22 Wednesday Mar 25 (lockdown)

  • Regular patterns
  • Workday: Strong increase in evening hours
  • Weekend: More traffic during daytime
  • During lockdown: Workdays look more like weekends

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SLIDE 19

Changes in workday vs. weekend patterns at the ISP

correct wrong weekend correct wrong workday

  • Classify days into workdays or weekends using traffic patterns

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SLIDE 20

Changes in workday vs. weekend patterns at the ISP

correct wrong weekend correct wrong workday

  • Classify days into workdays or weekends using traffic patterns
  • Pre-lockdown: Most days are classified correctly

6

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SLIDE 21

Changes in workday vs. weekend patterns at the ISP

correct wrong weekend correct wrong workday

  • Classify days into workdays or weekends using traffic patterns
  • Pre-lockdown: Most days are classified correctly
  • During lockdown: Workdays are classified as weekends

6

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SLIDE 22

Changes in workday vs. weekend patterns at the ISP

correct wrong weekend correct wrong workday

  • 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

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SLIDE 23

Changes in workday vs. weekend patterns: ISP vs. IXP

ISP

Jan 1 Feb 1 Mar 1 Apr 1 May 1 Jun 1 Date 0.00 0.25 0.05 0.75 1.00

  • Norm. traffic volume

Sat-Sun Mon-Fri 0.00 0.25 0.05 0.75 1.00

  • Norm. traffic volume

with weekend-like pattern

}

with workday-like pattern

}

Mon-Fri Sat-Sun

IXP

Jan 1 Feb 1 Mar 1 Apr 1 May 1 Jun 1 Date 0.00 0.25 0.05 0.75 1.00

  • Norm. traffic volume

Sat-Sun Mon-Fri 0.00 0.25 0.05 0.75 1.00

  • Norm. traffic volume

with weekend-like pattern

}

with workday-like pattern

}

Mon-Fri Sat-Sun

7

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SLIDE 24

Changes in workday vs. weekend patterns: ISP vs. IXP

ISP

Jan 1 Feb 1 Mar 1 Apr 1 May 1 Jun 1 Date 0.00 0.25 0.05 0.75 1.00

  • Norm. traffic volume

Sat-Sun Mon-Fri 0.00 0.25 0.05 0.75 1.00

  • Norm. traffic volume

with weekend-like pattern

}

with workday-like pattern

}

Mon-Fri Sat-Sun

IXP

Jan 1 Feb 1 Mar 1 Apr 1 May 1 Jun 1 Date 0.00 0.25 0.05 0.75 1.00

  • Norm. traffic volume

Sat-Sun Mon-Fri 0.00 0.25 0.05 0.75 1.00

  • Norm. traffic volume

with weekend-like pattern

}

with workday-like pattern

}

Mon-Fri Sat-Sun

  • At both vantage points workdays are mostly classified as weekends

7

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SLIDE 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
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SLIDE 26

Application-level traffic changes

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SLIDE 27

Classify traffic by application class

  • Classify based on transport ports and src/dst ASes

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SLIDE 28

Classify traffic by application class

  • Classify based on transport ports and src/dst ASes

T h u F r i S a t S u n M

  • n

T u e W e d

CDN Educational Social media Gaming VoD Email

  • Coll. working

Web conf

Base week IXP 9

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SLIDE 29

Classify traffic by application class

  • Classify based on transport ports and src/dst ASes

T h u F r i S a t S u n M

  • n

T u e W e d

CDN Educational Social media Gaming VoD Email

  • Coll. working

Web conf

Base week IXP

  • Email during working hours

9

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SLIDE 30

Classify traffic by application class

  • Classify based on transport ports and src/dst ASes

T h u F r i S a t S u n M

  • n

T u e W e d

CDN Educational Social media Gaming VoD Email

  • Coll. working

Web conf

Base week IXP

  • Email during working hours
  • Video, gaming, and social media during evening hours

9

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SLIDE 31

Classify traffic by application class

  • Classify based on transport ports and src/dst ASes

T h u F r i S a t S u n M

  • n

T u e W e d

CDN Educational Social media Gaming VoD Email

  • Coll. working

Web conf

Base week IXP

  • Email during working hours
  • Video, gaming, and social media during evening hours
  • Hardly any web conferencing

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SLIDE 32

Changes in application classes: Central European IXP

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SLIDE 33

Changes in application classes: Central European IXP

March:

  • Increase in web conf., VoD, and

gaming

  • Partial decrease in CDN and

educational traffic

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SLIDE 34

Changes in application classes: Central European IXP

March:

  • Increase in web conf., VoD, and

gaming

  • Partial decrease in CDN and

educational traffic April:

  • Strong increase in web conf.
  • Decrease in CDN and social media

traffic

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SLIDE 35

Changes in application classes: Central European IXP

March:

  • Increase in web conf., VoD, and

gaming

  • Partial decrease in CDN and

educational traffic April & June:

  • Strong increase in web conf.
  • Decrease in CDN and social media

traffic

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SLIDE 36

VPN traffic: Central European IXP

VPN identification

  • Port-based: Well known port/proto combinations exclusively used by VPN services
  • Domain-based: For TCP/443 traffic, IPs labeled *vpn*, but not www.

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SLIDE 37

VPN traffic: Central European IXP

VPN identification

  • Port-based: Well known port/proto combinations exclusively used by VPN services
  • Domain-based: For TCP/443 traffic, IPs labeled *vpn*, but not www.

Workdays Weekends

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SLIDE 38

VPN traffic: Central European IXP

VPN identification

  • Port-based: Well known port/proto combinations exclusively used by VPN services
  • Domain-based: For TCP/443 traffic, IPs labeled *vpn*, but not www.

Workdays Weekends

  • 200% increase in VPN traffic in March during working hours

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SLIDE 39

VPN traffic: Central European IXP

VPN identification

  • Port-based: Well known port/proto combinations exclusively used by VPN services
  • Domain-based: For TCP/443 traffic, IPs labeled *vpn*, but not www.

Workdays Weekends

  • 200% increase in VPN traffic in March during working hours
  • Slight decrease in April

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SLIDE 40

VPN traffic: Central European IXP

VPN identification

  • Port-based: Well known port/proto combinations exclusively used by VPN services
  • Domain-based: For TCP/443 traffic, IPs labeled *vpn*, but not www.

Workdays Weekends

  • 200% increase in VPN traffic in March during working hours
  • Slight decrease in April & June

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SLIDE 41

Poll

Q: Did certain parts of the traffic in YOUR network change during the lockdown?

  • Increase for certain parts of the traffic
  • Decrease for certain parts of the traffic
  • Increase & decrease for certain parts of the traffic
  • No change
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SLIDE 42

How did edu traffic change?

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SLIDE 43

Daily connections for different traffic classes at REDIMadrid

Transition phase Easter

0.10 0.25 0.50 1.00 2.00 5.00 10.00

  • Feb. 27
  • Mar. 4
  • Mar. 11
  • Mar. 18
  • Mar. 25
  • Apr. 1
  • Apr. 8
  • Apr. 15

Relative daily growth (Log)

VPN (In) Web (In) QUIC (Out)

13

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SLIDE 44

Daily connections for different traffic classes at REDIMadrid

Transition phase Easter

0.10 0.25 0.50 1.00 2.00 5.00 10.00

  • Feb. 27
  • Mar. 4
  • Mar. 11
  • Mar. 18
  • Mar. 25
  • Apr. 1
  • Apr. 8
  • Apr. 15

Relative daily growth (Log)

VPN (In) Web (In) QUIC (Out)

  • Increase in incoming web and VPN traffic
  • Decrease of outgoing QUIC traffic

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SLIDE 45

What we found

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SLIDE 46

People change → traffic changes

  • Traffic increase of 15-30% within a few days

2 4 6 8 1 1 2 1 4 1 6 1 8 2 2 2 2 4 2 6 2 8 3 3 2 3 4 3 6 3 8 4 4 2 4 4 4 6 4 8 5 5 2 2 4 6 8 1 1 2 1 4 1 6 1 8 2 2 2 2 4 2 6 2 8 Calendar week 0.6 0.8 1.0 1.2 1.4 1.6 Normalized traffic volume COVID-19 outbreak in Europe Initial responses and lockdowns ISP, Europe (>15M fixed-network lines) IXP, Central Europe (>900 members) IXP, South Europe (>170 members) IXP, US East Coast (>250 members) Mobile operator, Europe (>40M customers) 2019 2020

14

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SLIDE 47

People change → traffic changes

  • Traffic increase of 15-30% within a few days
  • Difference between workday and weekend

vanishes

correct wrong weekend correct wrong workday

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SLIDE 48

People change → traffic changes

  • Traffic increase of 15-30% within a few days
  • Difference between workday and weekend

vanishes

  • Applications for remote work, education,

VPN, and video conferencing see significant increase in traffic

14

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SLIDE 49

People change → traffic changes

  • Traffic increase of 15-30% within a few days
  • Difference between workday and weekend

vanishes

  • Applications for remote work, education,

VPN, and video conferencing see significant increase in traffic

  • Absence of users can lead to decrease in

traffic

Transition phase Easter

0.10 0.25 0.50 1.00 2.00 5.00 10.00

  • Feb. 27
  • Mar. 4
  • Mar. 11
  • Mar. 18
  • Mar. 25
  • Apr. 1
  • Apr. 8
  • Apr. 15

Relative daily growth (Log)

VPN (In) Web (In) QUIC (Out)

14

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SLIDE 50

People change → traffic changes

  • Traffic increase of 15-30% within a few days
  • Difference between workday and weekend

vanishes

  • Applications for remote work, education,

VPN, and video conferencing see significant increase in traffic

  • Absence of users can lead to decrease in

traffic

Transition phase Easter

0.10 0.25 0.50 1.00 2.00 5.00 10.00

  • Feb. 27
  • Mar. 4
  • Mar. 11
  • Mar. 18
  • Mar. 25
  • Apr. 1
  • Apr. 8
  • Apr. 15

Relative daily growth (Log)

VPN (In) Web (In) QUIC (Out)

The impact of the COVID-19 pandemic is directly reflected in changes to Internet traffic.

14

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SLIDE 51

Poll

Q: Is YOUR network prepared for a second lockdown?

  • Yes, better than for the first lockdown
  • Yes, similarly as for the first lockdown
  • No, we are just hoping for the best
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SLIDE 52

How did the Internet do?

The Internet at our vantage points was able to cope with

  • Major demand changes
  • Major application changes

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SLIDE 53

How did YOUR Internet do?

The Internet at our vantage points was able to cope with

  • Major demand changes
  • Major application changes

How was your experience?

  • How well did your network cope?
  • Did you see changes in traffic patterns?
  • Did you experience outages, congestion, etc.?
  • Did you have to provision additional capacity?
  • . . .

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SLIDE 54

How did YOUR Internet do?

The Internet at our vantage points was able to cope with

  • Major demand changes
  • Major application changes

How was your experience?

  • How well did your network cope?
  • Did you see changes in traffic patterns?
  • Did you experience outages, congestion, etc.?
  • Did you have to provision additional capacity?
  • . . .

Is this the new normal?

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SLIDE 55

How did YOUR Internet do?

The Internet at our vantage points was able to cope with

  • Major demand changes
  • Major application changes

How was your experience?

  • How well did your network cope?
  • Did you see changes in traffic patterns?
  • Did you experience outages, congestion, etc.?
  • Did you have to provision additional capacity?
  • . . .

Is this the new normal?

  • liver.gasser@mpi-inf.mpg.de

arXiv:2008.10959

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