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Large-Scale Query and XMatch, Entering
the Parallel Zone
October 1, 2005
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BibTex
Authors

Jim Gray

Maria A. Nieto-Santisteban

Aniruddha R. Thakar

Alexander S. Szalay
Published In

Astronomical Data Analysis Software and Systems XV
Publication Type
Inproceedings
Book Title
Astronomical Data Analysis Software and Systems XV
Pages
3
Number
MSR-TR-2005-169
Publisher
Astronomical Society of the Pacific
© Copyright 2005 - Astronomical Society of the Pacific

Abstract

Related Info
Abstract
Current and future astronomical surveys are producing catalogs with millions and billions of
objects. On-line access to such big datasets for data mining and cross-correlation is usually as
highly desired as unfeasible. Providing these capabilities is becoming critical for the Virtual
Observatory framework. In this paper we present various performance tests that show how using
Relational Database Management Systems (RDBMS) and a Zoning algorithm to partition and
parallelize the computation, we can facilitate large-scale query and cross-match.
Related Info
Related Files
 tr-2005-169.doc
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 Search and information retrieval
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