Computer Science – Databases
Scientific paper
2007-01-26
Computer Science
Databases
Astronomical Data Analysis Software and Systems XV in San Lorenzo de El Escorial, Madrid, Spain, October 2005, to appear in th
Scientific paper
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.
Gray Jim
Nieto-Santisteban Maria A.
Szalay Alexander S.
Thakar Aniruddha R.
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