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Evolving Research Paradigms in Networking: The Role of Testbeds in Innovation

This paper by Shivendra Panwar explores the changing landscape of networking research, emphasizing the diminishing dominance of major corporations and the rising importance of academic researchers. It highlights the pivotal role of testbed-based research in pushing boundaries and transforming ideas into reality. The discussion includes various testbed platforms like GENI, FIRE, and PlanetLab, illustrating how they facilitate complex experiments and future technology testing. Even setbacks in testbed experiments can yield valuable insights, underscoring the necessity for adaptability and clear user expectations in experimental design.

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Evolving Research Paradigms in Networking: The Role of Testbeds in Innovation

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  1. Testbeds and the evolving research paradigm Shivendra Panwar Based on discussions with Fraida Fund, Pei Liu and ThanasisKorakis Polytechnic Institute of New York University Brooklyn, NY CCW 2012

  2. How has the research paradigm changed in networking? • Major corporations do not dominate research as they once did • Puts more of a spotlight on academic researchers • This implies the need to push research further out to reality • Increases the importance of testbed-based research • Even testbed “failures” are often successful! • A counter-example, and is this all good?

  3. Platforms for Future Internet Experimentation Internet as a Testbed (Seattle) Collection of Heterogeneous Testbeds (GENI, FIRE projects) Distributed Testbed (PlanetLab) Testbed with Programmable Network (ORBIT, OFELIA, CORNET) Fidelity to “real” Internet Emulation (Emulab, DETER) Simulation (ns-2/ns-3,OPNET) Programmability of network

  4. Platforms for Future Internet Experimentation Complex experiments Complex experiments Results likely to hold in “real” world Less repeatable Fidelity to “real” Internet Results less likely to hold in “real” world Repeatability Controlled experiments Controlled experiments

  5. Platforms for Future Internet Experimentation Good for testing future technology Technology can be deployed today Support clean-slate experiments, fundamental changes Easy to learn Programmability of network Limited ability Steep learning curve

  6. Shared Design Challenges • Future-proof: Design testbeds to study solutions that haven’t been developed yet • Flexible use: Support “clean slate” experiments but allow experimenters to re-use existing technologies • Open: Simple, open architectures encourage user-contributed tools and resources.

  7. Shared Operational Challenges • Support real experimenters: Adapt to the way experimenters actually use testbed, rather than what designers anticipated • Clear expectations: Help users understand advantages and limitations of testbed platform and design experiments accordingly

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