Reproducibility of Computational Experiments on Kubernetes-Managed Container Clouds with HyperFlow

ABSTRACT: We propose a comprehensive solution for reproducibility of scientific workflows. We focus particularly on Kubernetes-managed container clouds, increasingly important in scientific computing. Our solution addresses conservation of the scientific procedure, scientific data, execution environment and experiment deployment, while using standard tools in order to avoid maintainability issues that can obstruct reproducibility. We introduce an Experiment Digital Object (EDO), a record published in an open science repository that contains artifacts required to reproduce an experiment. We demonstrate a variety of reproducibility scenarios including experiment repetition (same experiment and conditions), replication (same experiment, different conditions), and propose a smart reuse scenario in which

SUBMITTER: Orzechowski M 

PROVIDER: S-EPMC7302264 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature