Reproducing Scientific Experiment with Cloud DevOps

TL;DR

This paper explores how Cloud DevOps infrastructure can enhance the reproducibility of scientific experiments by providing scalable, reliable, and shareable computing environments for researchers across disciplines.

Contribution

It introduces the application of Cloud DevOps from software engineering to scientific experiment reproducibility, enabling easier sharing and replication of results.

Findings

Cloud DevOps facilitates reproducibility with cloud and self-hosted resources.

It supports medium and large-scale experiments effectively.

Enhances collaboration and reliability in scientific research.

Abstract

The reproducibility of scientific experiment is vital for the advancement of disciplines based on previous work. To achieve this goal, many researchers focus on complex methodology and self-invented tools which have difficulty in practical usage. In this article, we introduce the Cloud DevOps infrastructure from software engineering community and shows how it can be used effectively for heterogeneous agents to reproduce experiments for computer science related disciplines. DevOps can be enabled using freely available cloud computing machines for medium-sized experiment and self-hosted computing engines for large-scale computing, thus powering researchers to share their experiment result with others in a more reliable way.