Bastin, Lucy, Martínez-López, Javier, Gordon, Ascelin, Langford, William T. and Satya, River (2015). Reproducible computing with Tzar and Docker. IN: Free and open source software for geospatial. Brovelli, Maria Antonia; Mingihini, Marco and Negretti, Marco (eds) Geomatics workbook . ITA: Politecnico di Milano.
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.
Divisions: | ?? 50811700Jl ?? College of Engineering & Physical Sciences > Sustainable environment research group |
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Event Title: | Free and Open Source Software for Geospatial |
Event Type: | Other |
Event Dates: | 2015-07-14 - 2015-07-17 |
Uncontrolled Keywords: | reproducible computing,model interoperability,distributed computing |
Last Modified: | 19 Jul 2024 07:15 |
Date Deposited: | 11 Nov 2015 09:25 | PURE Output Type: | Chapter (peer-reviewed) |
Published Date: | 2015-07 |
Authors: |
Bastin, Lucy
(![]() Martínez-López, Javier Gordon, Ascelin Langford, William T. Satya, River |