Abstract
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 |
Fingerprint
Keywords
- reproducible computing
- model interoperability
- distributed computing
Cite this
}
Reproducible computing with Tzar and Docker. / Bastin, Lucy; Martínez-López, Javier; Gordon, Ascelin; Langford, William T.; Satya, River.
Free and open source software for geospatial: open innovation for Europe. ed. / Maria Antonia Brovelli; Marco Mingihini; Marco Negretti. Politecnico di Milano, 2015. p. 105-111 (Geomatics workbook; No. 12).Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)
TY - CHAP
T1 - Reproducible computing with Tzar and Docker
AU - Bastin, Lucy
AU - Martínez-López, Javier
AU - Gordon, Ascelin
AU - Langford, William T.
AU - Satya, River
PY - 2015/7
Y1 - 2015/7
N2 - The potential for sharing environmental data and models is huge, but can bechallenging for experts without specific programming expertise. We built anopen-source, cross-platform framework (‘Tzar’) to run models across distributedmachines. Tzar is simple to set up and use, allows dynamic parametergeneration and enhances reproducibility by accessing versioned data and code.Combining Tzar with Docker helps us lower the entry barrier further byversioning and bundling all required modules and dependencies, together withthe database needed to schedule work.
AB - The potential for sharing environmental data and models is huge, but can bechallenging for experts without specific programming expertise. We built anopen-source, cross-platform framework (‘Tzar’) to run models across distributedmachines. Tzar is simple to set up and use, allows dynamic parametergeneration and enhances reproducibility by accessing versioned data and code.Combining Tzar with Docker helps us lower the entry barrier further byversioning and bundling all required modules and dependencies, together withthe database needed to schedule work.
KW - reproducible computing
KW - model interoperability
KW - distributed computing
M3 - Chapter (peer-reviewed)
T3 - Geomatics workbook
SP - 105
EP - 111
BT - Free and open source software for geospatial
A2 - Brovelli, Maria Antonia
A2 - Mingihini, Marco
A2 - Negretti, Marco
PB - Politecnico di Milano
ER -