SciServer: a Science Platform for Astronomy and Beyond

التفاصيل البيبلوغرافية
العنوان: SciServer: a Science Platform for Astronomy and Beyond
المؤلفون: Taghizadeh-Popp, Manuchehr, Kim, Jai Won, Lemson, Gerard, Medvedev, Dmitry, Raddick, M. Jordan, Szalay, Alexander S., Thakar, Aniruddha R., Booker, Joseph, Chhetri, Camy, Dobos, Laszlo, Rippin, Michael
سنة النشر: 2020
المجموعة: Astrophysics
مصطلحات موضوعية: Astrophysics - Instrumentation and Methods for Astrophysics
الوصف: 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
نوع الوثيقة: Working Paper
DOI: 10.1016/j.ascom.2020.100412
URL الوصول: http://arxiv.org/abs/2001.08619
رقم الانضمام: edsarx.2001.08619
قاعدة البيانات: arXiv
الوصف
DOI:10.1016/j.ascom.2020.100412