Paper:	SciServerCompute: Bring Analysis Close to the Data
Volume:	521, Astronomical Data Analysis Software and Systems XXVI
Page:	749
Authors:	Raddick, M. J.; Kim, J. W.; Lemson, G.; Medvedev, D.; Taghizadeh-Popp, M.
Abstract:	SciServer Compute is a powerful new resource for scientific research with big data - an environment for running data-intensive compute jobs online. SciServer Compute allows users to create Jupyter notebooks inside Docker containers co-located with a large institutional data repository at Johns Hopkins University. Our data center offers the complete dataset of the Sloan Digital Sky Survey (SDSS), as well as nearly a Petabyte of other data from many fields of science. This paper introduces the philosophy of SciServer Compute, outlines our Jupyter notebook cluster implementation, and presents the real-world science cases we have developed in collaboration with our scientific partners.

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