Abstract
The potential for sharing environmental data and models is huge, but can be
challenging for experts without specific programming expertise. We built an
open-source, cross-platform framework (‘Tzar’) to run models across distributed
machines. Tzar is simple to set up and use, allows dynamic parameter
generation and enhances reproducibility by accessing versioned data and code.
Combining Tzar with Docker helps us lower the entry barrier further by
versioning and bundling all required modules and dependencies, together with
the database needed to schedule work.
challenging for experts without specific programming expertise. We built an
open-source, cross-platform framework (‘Tzar’) to run models across distributed
machines. Tzar is simple to set up and use, allows dynamic parameter
generation and enhances reproducibility by accessing versioned data and code.
Combining Tzar with Docker helps us lower the entry barrier further by
versioning and bundling all required modules and dependencies, together with
the database needed to schedule work.
| Original language | English |
|---|---|
| Title of host publication | Free and open source software for geospatial |
| Subtitle of host publication | open innovation for Europe |
| Editors | Maria Antonia Brovelli, Marco Mingihini, Marco Negretti |
| Publisher | Politecnico di Milano |
| Pages | 105-111 |
| Number of pages | 7 |
| Publication status | Published - Jul 2015 |
| Event | Free and Open Source Software for Geospatial - Como, Italy Duration: 14 Jul 2015 → 17 Jul 2015 |
Publication series
| Name | Geomatics workbook |
|---|---|
| Publisher | Politecnico di Milano |
| Number | 12 |
| ISSN (Print) | 1591-092X |
Conference
| Conference | Free and Open Source Software for Geospatial |
|---|---|
| Abbreviated title | FOSS4G Europe |
| Country | Italy |
| City | Como |
| Period | 14/07/15 → 17/07/15 |
Keywords
- reproducible computing
- model interoperability
- distributed computing
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Cite this
Bastin, L., Martínez-López, J., Gordon, A., Langford, W. T., & Satya, R. (2015). Reproducible computing with Tzar and Docker. In M. A. Brovelli, M. Mingihini, & M. Negretti (Eds.), Free and open source software for geospatial: open innovation for Europe (pp. 105-111). (Geomatics workbook; No. 12). Politecnico di Milano.