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Four myths about GENI (and one recommendation)

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Four myths about GENI (and one recommendation) Constantine Dovrolis dovrolis_at_cc.gatech.edu College of Computing Georgia Tech – PowerPoint PPT presentation

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Title: Four myths about GENI (and one recommendation)


1
Four myths about GENI (and one recommendation)
  • Constantine Dovrolis
  • dovrolis_at_cc.gatech.edu
  • College of Computing
  • Georgia Tech

2
The summary of my position
  • The main motivations behind GENI and FIND are
    questionable
  • Myth-1 The lack of adoption argument
  • Myth-2 An experimental facility such as GENI
    will lead to better networking research (or
    higher deploy-ability)
  • Myth-3 The Internet architecture is ossified
  • Myth-4 Clean-slate architectural research will
    lead to a better future Internet than the
    evolution of the current architecture
  • A recommendation to NSF and the research
    community
  • Do not put all your eggs in one basket
  • Embrace and support evolutionary Internet
    research
  • Provide experimental facilities that evolutionary
    research desperately needs

3
Myth-1 If the real-world does not adopt our
architectures/protocols, then something is wrong
with the real-world..
  • Or is it that something is wrong with our
    architectures and protocols?
  • What happened to IPv6, IntServ, IP Multicast, and
    so many other architectural proposals?
  • GENI proponents say that the real-world (mostly
    ISPs and router vendors) does not have the
    incentive to deploy innovations at the network
    layer
  • In reality though, ISPs never stopped deploying
    new protocols/technologies when they actually
    need them
  • Think of MPLS, BGP route reflectors, traffic
    classifiers/differentiators at forwarding plane,
    NIDS, etc
  • The real-world adopts evolutionary mutations
    that address a real need and provide an
    advantage/gain to the deployer
  • Think in biological terms mutations, natural
    selection, survival of the fittest

4
Myth-2 Prototype implementations and testbed
experiments will lead to increased deploy-ability
  • Most previously proposed failed architectures
    were actually implemented and run on various
    testbeds
  • Remember MBone? 6-Bone? RSVPIntServ
    implementations?
  • Testbeds and prototypes do not prove
    deployability
  • All recent congestion control proposals (e.g.,
    XCP) have been implemented and run on testbeds
  • The main issue with any testbed/experimental
    facility is that it does not carry real user
    traffic
  • Real users will not use a buggy/experimental
    network
  • Plus, a testbed cannot capture the complex
    economic/incentive issues that were the key
    factor behind the failure of many previous
    architectures
  • Routing research without considering policies and
    incentives?
  • On the other hand, the real-world has repeatedly
    deployed new protocols/technologies that lacked
    testbed experiments, but that evolved while
    running in production networks
  • Think of the long TCP evolutionary path

5
Myth-3 The Internet architecture is ossified
  • What can we learn from biology and complex
    systems?
  • In any complex system, the core components
    (evolutionary kernels) need to be conserved, so
    that complexity and diversity can emerge at the
    periphery of the system
  • Think of Doyles bow-tie architecture, or the
    TCP/IP waist of the protocol hourglass
  • The network layer represents an evolutionary
    kernel. It needs to be conserved (few and minor
    changes) so that innovation and diversification
    can continue at the transport/application layers
    and at the physical/link layers
  • My (serious) prediction The Internet of 2020
    will be running a backwards-compatible, evolved
    version of IPv4
  • The research community needs to understand the
    conservation of evolutionary kernels principle,
    and focus its innovative energy on higher and
    lower layers
  • Where innovation thrives

6
Myth-4 A clean-slate architecture will lead to a
better future Internet than the evolution of the
current architecture
  • A clean-slate architecture in 2007, based on the
    current economic/technological constraints,
    objectives, and requirements will probably be
    irrelevant in 5-10 years from now
  • The environment in which a network architecture
    lives is changing faster than the timescales of
    academic research
  • How long does it take to think, design,
    prototype, experiment, publish and fund a
    complete clean-slate architecture? 5-10 years?
  • Clean-slate architectural research would have a
    chance if we knew the actual objectives and
    constraints in 5-10 years from now
  • But we dont have this luxury
  • On the other hand, evolutionary research does not
    need crystal ball
  • Focus on current objectives, constraints and
    problems
  • Provide evolutionary solutions that do not break
    existing net
  • Repeat as needed

7
A recommendation to NSF the community
  • Embrace and support evolutionary research
  • Evolutionary research does not mean incremental
    patches or ad-hoc/easy research
  • An unfortunate misconception that has gone
    unnoticed
  • Evolutionary research has a high impact on the
    Internet and to the broader society
  • Evolutionary research does not benefit from
    testbeds and toy-prototypes
  • Instead, it needs Internet-based facilities such
    as
  • Distributed Internet monitoring probing
    infrastructures
  • Experimental ISPs with connections to real ISPs
  • Experimental but production-level services (e.g.,
    an NSF-funded YouTube-like service) that can
    attract real users to instrumented facilities

8
If you are interested to read more..
  • Paper under submission
  • What would Darwin think about GENI and FIND?
    Evolutionary versus clean-slate Internet
    research
  • Email me for a copy
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