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Title: Designing a Multi-Petabyte Database for LSST

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.

Authors:
; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
Stanford Linear Accelerator Center (SLAC)
Sponsoring Org.:
USDOE
OSTI Identifier:
897453
Report Number(s):
SLAC-PUB-12292
TRN: US200705%%250
DOE Contract Number:  
AC02-76SF00515
Resource Type:
Conference
Resource Relation:
Conference: To appear in the proceedings of SPIE Conference on Observatory Operations: Strategies, Processes, and Systems, Orlando, Florida, 26-27 May 2006
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; CAMERAS; TELESCOPES; ASTROPHYSICS; INFORMATION SYSTEMS; DATA BASE MANAGEMENT; DESIGN; Accelerators,ASTRO

Citation Formats

Becla, Jacek, Hanushevsky, Andrew, Nikolaev, Sergei, Abdulla, Ghaleb, Szalay, Alex, Nieto-Santisteban, Maria, Thakar, Ani, Gray, Jim, and /SLAC. Designing a Multi-Petabyte Database for LSST. United States: N. p., 2007. Web.
Becla, Jacek, Hanushevsky, Andrew, Nikolaev, Sergei, Abdulla, Ghaleb, Szalay, Alex, Nieto-Santisteban, Maria, Thakar, Ani, Gray, Jim, & /SLAC. Designing a Multi-Petabyte Database for LSST. United States.
Becla, Jacek, Hanushevsky, Andrew, Nikolaev, Sergei, Abdulla, Ghaleb, Szalay, Alex, Nieto-Santisteban, Maria, Thakar, Ani, Gray, Jim, and /SLAC. Wed . "Designing a Multi-Petabyte Database for LSST". United States. doi:. https://www.osti.gov/servlets/purl/897453.
@article{osti_897453,
title = {Designing a Multi-Petabyte Database for LSST},
author = {Becla, Jacek and Hanushevsky, Andrew and Nikolaev, Sergei and Abdulla, Ghaleb and Szalay, Alex and Nieto-Santisteban, Maria and Thakar, Ani and Gray, Jim and /SLAC},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 10 00:00:00 EST 2007},
month = {Wed Jan 10 00:00:00 EST 2007}
}

Conference:
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