mlsanityData to 14 Oct 2026

Building Containerized Environments for Reproducibility and Traceability of Scientific Workflows

arXiv 2009.08495 ↗First posted 17 Sep 2020cs.DCcited by 1

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Abstract (arXiv)

Scientists rely on simulations to study natural phenomena. Trusting the simulation results is vital to develop sciences in any field. One approach to build trust is to ensure the reproducibility and traceability of the simulations through the annotation of executions at the system-level; by the generation of record trails of data moving through the simulation workflow. In this work, we present a system-level solution that leverages the intrinsic characteristics of containers (i.e., portability, isolation, encapsulation, and unique identifiers). Our solution consists of a containerized environment capable to annotate workflows, capture provenance metadata, and build record trails. We assess our environment on four different workflows and measure containerization costs in terms of time and space. Our solution, built with a tolerable time and space overhead, enables transparent and automatic provenance metadata collection and access, an easy-to-read record trail, and tight connections between data and metadata.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 17 Sep 2020.

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