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Reproducible Experimentation

Jonathan Klinginsmith Reproducibility and Scalability in Experimentation through Cloud Computing Technologies Indiana University Advisor: Judy Qiu. Reproducible Experimentation. Common research situations Researcher reads paper  R eproduce its experiments Benchmark and compare.

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Reproducible Experimentation

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  1. Jonathan KlinginsmithReproducibility and Scalability in Experimentation through Cloud Computing TechnologiesIndiana UniversityAdvisor: Judy Qiu

  2. Reproducible Experimentation Common research situations Researcher reads paper  Reproduce its experiments Benchmark and compare • Our goals • Expedite empirical research  • Reduce experimental setup time • Provide experimental integrity

  3. Experimental Conditions Reproducibilityneeds Infrastructure Software Parameters Data • Cloud computing (IaaS) • Compute instance types • Virtual appliance • Block and object storage • Reproducibility Scalability

  4. Reproducibility and Scalability Separation of Concerns • Persistent objects • Recipe & ingredients to build a scalable experiment

  5. Reproducibility and Scalability Virtual Clusters • Replicate images across IaaSclouds • Reproduce experiments across clouds

  6. Thank You!

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