SciServer: A science platform for astronomy and beyond
Autor: | A. R. Thakar, László Dobos, M.J. Raddick, Mike Rippin, J.W. Kim, Dmitry Medvedev, Manuchehr Taghizadeh-Popp, C. Chhetri, Gerard Lemson, J. Booker, Alexander S. Szalay |
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Rok vydání: | 2020 |
Předmět: |
SQL
010308 nuclear & particles physics Sql database Computer science business.industry FOS: Physical sciences Astronomy Astronomy and Astrophysics Access control Python (programming language) computer.software_genre 01 natural sciences Computer Science Applications Space and Planetary Science Scripting language 0103 physical sciences Scalability Batch processing Architecture Astrophysics - Instrumentation and Methods for Astrophysics business Instrumentation and Methods for Astrophysics (astro-ph.IM) 010303 astronomy & astrophysics computer computer.programming_language |
Zdroj: | Astronomy and Computing. 33:100412 |
ISSN: | 2213-1337 |
Popis: | We present SciServer, a science platform built and supported by the Institute for Data Intensive Engineering and Science at the Johns Hopkins University. SciServer builds upon and extends the SkyServer system of server-side tools that introduced the astronomical community to SQL (Structured Query Language) and has been serving the Sloan Digital Sky Survey catalog data to the public. SciServer uses a Docker/VM based architecture to provide interactive and batch mode server-side analysis with scripting languages like Python and R in various environments including Jupyter (notebooks), RStudio and command-line in addition to traditional SQL-based data analysis. Users have access to private file storage as well as personal SQL database space. A flexible resource access control system allows users to share their resources with collaborators, a feature that has also been very useful in classroom environments. All these services, wrapped in a layer of REST APIs, constitute a scalable collaborative data-driven science platform that is attractive to science disciplines beyond astronomy. Comment: Accepted for publication in the Astronomy and Computing journal |
Databáze: | OpenAIRE |
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