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The Rockerverse: Packages and Applications for Containerization with R
- Source :
- R JOURNAL
- Publication Year :
- 2020
-
Abstract
- The Rocker Project provides widely used Docker images for R across different application scenarios. This article surveys downstream projects that build upon the Rocker Project images and presents the current state of R packages for managing Docker images and controlling containers. These use cases cover diverse topics such as package development, reproducible research, collaborative work, cloud-based data processing, and production deployment of services. The variety of applications demonstrates the power of the Rocker Project specifically and containerisation in general. Across the diverse ways to use containers, we identified common themes: reproducible environments, scalability and efficiency, and portability across clouds. We conclude that the current growth and diversification of use cases is likely to continue its positive impact, but see the need for consolidating the Rockerverse ecosystem of packages, developing common practices for applications, and exploring alternative containerisation software.<br />Source code for article available at https://github.com/nuest/rockerverse-paper/ Updated version includes some new paragraphs and corrections throughout the text; full diff available at https://github.com/nuest/rockerverse-paper/compare/preprint.v2...preprint.v3
- Subjects :
- Statistics and Probability
FOS: Computer and information sciences
Technology and Engineering
Downstream (software development)
Computer science
FEATURES
Cloud computing
02 engineering and technology
K.6.3
050105 experimental psychology
Software portability
Computer Science - Software Engineering
Software
0202 electrical engineering, electronic engineering, information engineering
0501 psychology and cognitive sciences
Use case
D.2.6
D.2.7
Numerical Analysis
business.industry
68N01
Statistics
05 social sciences
020206 networking & telecommunications
Data science
Variety (cybernetics)
DOCKER
Software Engineering (cs.SE)
Computer Science - Distributed, Parallel, and Cluster Computing
Software deployment
REPLICATION
Scalability
Probability and Uncertainty
Distributed, Parallel, and Cluster Computing (cs.DC)
Statistics, Probability and Uncertainty
business
Subjects
Details
- Language :
- English
- ISSN :
- 20734859
- Database :
- OpenAIRE
- Journal :
- R JOURNAL
- Accession number :
- edsair.doi.dedup.....67a76c99e524c371bdc0d3a9026743da