Paper
29 June 2006 Designing a multi-petabyte database for LSST
Jacek Becla, Andrew Hanushevsky, Sergei Nikolaev, Ghaleb Abdulla, Alex Szalay, Maria Nieto-Santisteban, Ani Thakar, Jim Gray
Author Affiliations +
Abstract
The 3.2 giga-pixel LSST camera will produce approximately half a petabyte of archive images every month. These data need to be reduced in under a minute to produce real-time transient alerts, and then added to the cumulative catalog for further analysis. The catalog is expected to grow about three hundred terabytes per year. The data volume, the real-time transient alerting requirements of the LSST, and its spatio-temporal aspects require innovative techniques to build an efficient data access system at reasonable cost. As currently envisioned, the system will rely on a database for catalogs and metadata. Several database systems are being evaluated to understand how they perform at these data rates, data volumes, and access patterns. This paper describes the LSST requirements, the challenges they impose, the data access philosophy, results to date from evaluating available database technologies against LSST requirements, and the proposed database architecture to meet the data challenges.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jacek Becla, Andrew Hanushevsky, Sergei Nikolaev, Ghaleb Abdulla, Alex Szalay, Maria Nieto-Santisteban, Ani Thakar, and Jim Gray "Designing a multi-petabyte database for LSST", Proc. SPIE 6270, Observatory Operations: Strategies, Processes, and Systems, 62700R (29 June 2006); https://doi.org/10.1117/12.671721
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Cited by 31 scholarly publications.
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KEYWORDS
Databases

Large Synoptic Survey Telescope

Data centers

Data archive systems

Data storage

Image processing

Prototyping

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