Paper
25 July 2024 Rubin's hybrid on premises-cloud data access center
Author Affiliations +
Abstract
Cloud computing offers unparalleled flexibility, a constantly increasing set of “Infrastructure as a Service’’ capabilities, resource elasticity and security isolation. One of the most significant barriers in astronomy to wholesale adoption of cloud infrastructures is the cost for hot storage of large datasets - particularly for Rubin, a Big Data project sized at 0.5 Exabytes (500 Petabytes) over the duration of its ten-year mission. We are planning to reconcile this with a “hybrid” model where user-facing services are deployed on Google Cloud with the majority of data holdings residing in our on-premises Data Facility at SLAC. We discuss the opportunities, status, risks, and technical challenges of this approach.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
William O'Mullane, Yusra AlSayyad, James Chiang, Richard Dubois, Frossie Economou, Fabio Hernandez, Flora Huang, Tim Jenness, Kian-Tat Lim, Yee-Ting Li, Fritz Mueller, Dan Speck, Stephen Pietrowicz, and Wei Yang "Rubin's hybrid on premises-cloud data access center", Proc. SPIE 13101, Software and Cyberinfrastructure for Astronomy VIII, 131012B (25 July 2024); https://doi.org/10.1117/12.3018005
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KEYWORDS
Clouds

Databases

Data modeling

Data storage

Data archive systems

Observatories

Data backup

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