Vern Paxson and Sally Floyd, "Why We Don't Know How To Simulate The Internet", Proceedings of the 19 - PowerPoint PPT Presentation

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Vern Paxson and Sally Floyd, "Why We Don't Know How To Simulate The Internet", Proceedings of the 19

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Traces depend on the time when it was collected ... Next killer application can change everything. 4/598N: Computer Networks. 6. Coping stategies ... – PowerPoint PPT presentation

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Title: Vern Paxson and Sally Floyd, "Why We Don't Know How To Simulate The Internet", Proceedings of the 19


1
  • Vern Paxson and Sally Floyd, "Why We Don't Know
    How To Simulate The Internet", Proceedings of the
    1997 Winter Simulation Conference, Dec1997
  • Sally Floyd and Vern Paxson Difficulties in
    Simulating the Internet, 2001
  • Realistic BGP Traffic for Test Labs. Olaf Maennel
    and Anja Feldmann, SIGCOMM 02
  • Network Topology Generators Degree-Based vs.
    Structural. H. Tangmunarunkit, R. Govindan), S.
    Jamin, S. Shenker and W. Willinger, SIGCOMM02

2
Motivation
  • Simulating how the global Internet behaves is
    important
  • Validate new protocols before deploying them
  • Immensely hard task
  • Sheer diversity of the hosts
  • Internet is big
  • Jan 1996 - 9 million computers
  • Jan 1997 - 16 million computers
  • Dec 2000 - 100 million computers
  • Internet changes in drastic ways
  • Growth (80) can be traced back to 1984

3
Motivation (cont)
  • Growth affects usage statistics with time
  • ftp median size went from 4500 bytes to 2100
    bytes!!
  • New protocols take over the traffic
  • Web traffic was unknown before 1992, Napster,
    Gnutella, Mbone grew on short notice. Napster
    traffic disappeared overnight
  • What are we trying to achieve with simulations
  • Faithfully model the internet or capture its
    global scale behaviour?

4
Heterogeneity
  • Topology and link properties
  • What is the network topology - hierarchical or
    power law distributions
  • Network is also evolving continuously
  • Link properties also change (DSL, cable, and
    other technologies)
  • Links can be asymmetric - especially with large
    topologies
  • Protocol differences
  • TCP implementations are evolving too (with their
    own set of bugs!!)
  • Depends on the application goals for simulation

5
Traffic generation
  • How do we generate representative traffic
  • Trace-driven simulation is tempting
  • Internet uses adaptive congestion control
  • Traces depend on the time when it was collected
  • Trace driven source-level simulation is promising
  • Todays network is not tomorrows
  • New pricing structure could make QoS take off
  • Routing protocols may introduce QoS models
  • Native multicast rather than tunnelled
  • CDNs changed the web dynamics
  • Next killer application can change everything

6
Coping stategies
  • Search for invariants
  • Carefully exploring the parameter space
  • Choosing a random topology does not prove
    anything
  • Need to analyze fro a wide range of viable
    parameters!!

7
Other papers
  • BGP traffic generators
  • Network topology generators
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