Reproducible Evaluation of Systems

Website: getpopper.io
Funding: NSF OAC-1450488, NSF OAC-1836650, CROSS
Overview: USENIX ;login: Winter 2016
Workshops:

Independently validating experimental results in the field of computer systems research is a challenging task. Recreating an environment that resembles the one where an experiment was originally executed is a time-consuming endeavor. Popper is a convention (or protocol) for conducting experiments following a DevOps approach that allows researchers to make all associated artifacts publicly available with the goal of maximizing automation in the re-execution of an experiment and validation of its results.

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Carlos Maltzahn
Adjunct Professor, Founder & Director of CROSS

My research interests include programmable storage systems, big data storage & processing, scalable data management, distributed systems performance management, and practical reproducible research.

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