LSST data management software development practices and tools
| Autor: | Brian Van Klaveren, William O'Mullane, Frossie Economou, K. Simon Krughoff, Pim Schellart, K. T. Lim, Fritz Mueller, John D. Swinbank, James Bosch, Jonathan Sick, John K. Parejko, Josh Hoblitt, Paul A. Price, Tim Jenness, Adam J. Thornton, Robert H. Lupton, K. Findeisen, Russell Owen, Fabio Hernandez, Jeffrey Kantor, Stephen R. Pietrowicz |
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| Rok vydání: | 2018 |
| Předmět: |
010308 nuclear & particles physics
business.industry Computer science Data management Software development Petabyte Large Synoptic Survey Telescope 01 natural sciences Software Software deployment 0103 physical sciences Distributed development business Software engineering 010303 astronomy & astrophysics Agile software development |
| Zdroj: | Software and Cyberinfrastructure for Astronomy V. |
| DOI: | 10.1117/12.2312157 |
| Popis: | The Large Synoptic Survey Telescope (LSST) is an 8.4m optical survey telescope being constructed on Cerro Pach´on in Chile. The data management system being developed must be able to process the nightly alert data, 20,000 expected transient alerts per minute, in near real time, and construct annual data releases at the petabyte scale. The development team consists of more than 90 people working in six different sites across the US developing an integrated set of software to realize the LSST science goals. In this paper we discuss our agile software development methodology and our API and developer decision making process. We also discuss the software tools that we use for continuous integration and deployment. |
| Databáze: | OpenAIRE |
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