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The Case for Viral Broadband Decentralizing broadband Internet - - PowerPoint PPT Presentation

The Case for Viral Broadband Decentralizing broadband Internet access Dimitris Vyzovitis vyzo@media.mit.edu Viral Communications, MIT Media Laboratory Viral Communications Workshop, October 20, 2004 Outline Background and Context


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The Case for Viral Broadband Decentralizing broadband Internet access Dimitris Vyzovitis

vyzo@media.mit.edu

Viral Communications, MIT Media Laboratory Viral Communications Workshop, October 20, 2004

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Outline

  • Background and Context
  • Broadband Access and Peer-to-Peer Systems
  • Pricing Broadband
  • Viral Broadband

Dimitris Vyzovitis 2 Viral Communications Workshop, October 20, 2004

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Background Past research in Viral Communications Group: decentralize content distribution

  • Collaborative content distribution protocols

multicast, stream aggregation, localized distribution

  • DiVA: Distributed Video Architecture

tuner and disk space sharing

Dimitris Vyzovitis 3 Viral Communications Workshop, October 20, 2004

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Collaborative Content Distribution

N3 N2 N1 N4 N5 N6 L2 L1 L3 L4 R1 R2 R3 R4 Router Local Network Node Data Flow

Dimitris Vyzovitis 4 Viral Communications Workshop, October 20, 2004

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Context Viral Broadband decentralizes broadband access.

  • Base technology is already there (WiFi)
  • Grass-roots (Roofnet etc) and city-wide (Philadelphia etc) projects, commercial
  • ffers (Nortel etc) with viral characteristics.

Impetus

  • Solve the asymmetry problem.
  • Enable real-time programming.
  • Provide better and cheaper service for end users by leveraging wired broadband

infrastructure.

Dimitris Vyzovitis 5 Viral Communications Workshop, October 20, 2004

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Context (contd) From decentralization to innovation: allow ideas to evolve, centralize and legitimize.

  • Client-server Internet: web, online banking, etc.
  • Online content distribution: file sharing → iTunes, Raphsody.
  • Peer-to-peer realtime communication: Skype
  • Other industries: video, telephony, airline pricing systems, variable tolls, etc.

Dimitris Vyzovitis 6 Viral Communications Workshop, October 20, 2004

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The State of Broadband Broadband Network A network in which the bandwidth can be divided and

shared by multiple simultaneous signals (as for voice or data or video) [Wordnet]

State of affairs

  • Basic Internet service
  • Asymmetric access
  • Flat rate pricing

What’s coming

  • Multiple priorities, integrated services
  • Usage-based pricing

Dimitris Vyzovitis 7 Viral Communications Workshop, October 20, 2004

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Network Asymmetry Upstream capacity 4-10 times less than downstream. Ok for client- server computing, but not ok for peer-to-peer applications.

50 100 150 200 250 300 350 400 450 500 200 400 600 800 1000 1200 1400 1600 Service cost (USD, monthly) Upstream capacity (Kbps) residential business

Upstream capacity cost. Source: sample prices from leading ISPs

Dimitris Vyzovitis 8 Viral Communications Workshop, October 20, 2004

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Growth of Broadband: Global Exponential increase since 1999 to 70 million worldwide in 2002

Source: ITU

Dimitris Vyzovitis 9 Viral Communications Workshop, October 20, 2004

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Growth of Broadband: U.S. Market penetration over 50% in September 2004

Source: Bandwidth Report

Dimitris Vyzovitis 10 Viral Communications Workshop, October 20, 2004

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Peer-to-peer Systems and Broadband Peer-to-peer systems is a killer application for broadband.

  • 2001:

30 million Napster users, 40 million broadband users worldwide.

  • Now: peer-to-peer is the single larger consumer of data in ISP’s

networks.

  • Flat rate pricing: no actual cost, users encouraged to file share.
  • Usage-based pricing: resource sharing is problematic.
  • Network asymmetry: symmetric high bandwidth applications and

real-time programming are problematic.

Dimitris Vyzovitis 11 Viral Communications Workshop, October 20, 2004

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Peer-to-peer Traffic CacheLogic analysis of tier-1 and tier-2 ISPs traffic: Over 80% in last mile.

Source: CacheLogic

Dimitris Vyzovitis 12 Viral Communications Workshop, October 20, 2004

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Pricing Broadband Layered pricing model (Stiller et al):

Content Pricing Access Pricing Usage-based Pricing Connection Pricing Transport Related Price

Dimitris Vyzovitis 13 Viral Communications Workshop, October 20, 2004

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Pricing Broadband: Usage Constraining Pricing Constraining resource usage: bit counting charges with volume caps. c = caccess +

  • i

(cservice,i + cexcess,i · (bi − Ui) · u(bi − Ui)) + ccontent caccess fixed network access cost cservice,i ith service fixed cost cexcess,i ith service excess cost bi ith service bit count Ui ith service bit cap u(·) unit step function ccontent end-to-end content cost

Dimitris Vyzovitis 14 Viral Communications Workshop, October 20, 2004

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Pricing Broadband: Illustration Plot of c for a single service

Volume Cost caccess cservice + U c

excess

Dimitris Vyzovitis 15 Viral Communications Workshop, October 20, 2004

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Viral Broadband Architecture Elements of architecture

  • Wireless ad-hoc network, static end user nodes provide infrastructure. Extant

architecture: wireless mesh networks.

  • A subset of end users provide Internet access via direct ISP connection.
  • Peer-to-peer interactions.
  • Turn WiFi inside-out.

Modest extrinsic requirements

  • Base technology already there: WiFi.
  • Reasonable ISPs: open network access.
  • Reasonable regulation: open spectrum.

Dimitris Vyzovitis 16 Viral Communications Workshop, October 20, 2004

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Wireless Mesh Networks: ISP-centric

User Node Transit Access Point Gateway Internet A T

3

T

1

T

2

TAP-based mesh (Nortel etc)

Dimitris Vyzovitis 17 Viral Communications Workshop, October 20, 2004

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Wireless Mesh Networks: Community-based

User Node User Gateway Node Gateway Internet A

1

A

2

A

3

MIT Roofnet

Dimitris Vyzovitis 18 Viral Communications Workshop, October 20, 2004

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Pure Viral Broadband Architecture

User Node User Gateway Node Internet A A

2

A

3

A

1

A

4

A

5

Dimitris Vyzovitis 19 Viral Communications Workshop, October 20, 2004

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Mixed Viral Broadband Architecture

User Node User Gateway Node Internet A

1

A

2

A

3

A

1

A

4

A

5

ISP Gateway ISP Transit Access Point A

6

T

1

T

2

Dimitris Vyzovitis 20 Viral Communications Workshop, October 20, 2004

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Parasitic Peer-to-peer Content Distribution

User Node User Gateway Node A Internet B C User Content Cache

Dimitris Vyzovitis 21 Viral Communications Workshop, October 20, 2004

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Economics of Viral Broadband Observations

  • Higher capacity for users by aggregation.
  • “Symmetric”, peer-to-peer access.
  • Some users incur actual cost.

Compensation by cost distribution among users according to fair share

  • f resources!

Dimitris Vyzovitis 22 Viral Communications Workshop, October 20, 2004

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Economics of Viral Broadband (contd) Amortized access cost c∗

access =

  • Ai∈A caccess,i

n Per-user viral network overhead ∆c = cexcess · ((bV + b − U) · u(bV + b − U) − (b − U) · u(b − U)) User share ∆c∗

i =

bi ·

Aj∈A ∆cj

B

n number of users A subset of users with direct access bV viral network excess bit count bi ith user excess bit count B global viral network excess bit count

Dimitris Vyzovitis 23 Viral Communications Workshop, October 20, 2004

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Benefits

  • End users: symmetric access, better service, better prices.
  • Base technology providers: economies of scale.
  • Service providers: accounting, cost distribution.
  • Content providers: efficient peer-to-peer content distribution.
  • Entrepreneurs: innovation at the edge, application opportunities.

Dimitris Vyzovitis 24 Viral Communications Workshop, October 20, 2004

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Challenges

  • Fair share cost distribution:

accounting, payments, efficient implementation.

  • Routing: multi-gateway.
  • Transport: multi-path.
  • Multicast.

Dimitris Vyzovitis 25 Viral Communications Workshop, October 20, 2004

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More Information and Progress Viral Broadband Project Viral Communications, MIT Media Laboratory http://web.media.mit.edu/~vyzo/vbb

Dimitris Vyzovitis 26 Viral Communications Workshop, October 20, 2004