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DTSTAMP:20260522T150116Z
LOCATION:D171
DTSTART;TZID=America/Chicago:20181111T113000
DTEND;TZID=America/Chicago:20181111T114500
UID:submissions.supercomputing.org_SC18_sess167_ws_rescue108@linklings.com
SUMMARY:Semantically Organized Containers for Reproducible Research
DESCRIPTION:Andrew Youngdahl, Zhihao Yuan, Dai-Hai Ton-That, and Tanu Mali
 k (DePaul University) and Ivo Jimenez and Carlos Maltzahn (University of C
 alifornia, Santa Cruz)\n\nExperiments are a key component in systems and H
 PC-related research. They help validate new ideas and concepts. Sharing an
 d reproducing experiments, however, is a challenge, especially when comput
 ational experiments reside in multiple computing environments, are disorga
 nized into multiple directories, are disconnected from each other, or lack
  sufficient documentation. \n\nIn this paper, we show how sharing, porting
 , and reproducing distributive and iterative experiments can be simplified
  by using an automatic containerization tool for capturing/repeating an ex
 periment and a convention for organizing repeated runs of an experiment. U
 sing a simulation-analysis workflow, we show how semantically organized co
 ntainers can help a reviewer find all experiments for a given result and r
 e-execute all experiments with fail-proof guarantee. We discuss outstandin
 g challenges of adopting this method as an artifact evaluation mechanism.\
 n\nTag: Reproducibility, Software Engineering, Workflows\n\nRegistration C
 ategory: Workshop Reg Pass\n\n
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