MaxBCG: The Importance of Database Systems for the Virtual Observatory and the Grid

Details MaxBCG: The Importance of Database Systems for the Virtual Observatory and the Grid MaxBCG: The Importance of Database Systems for the Virtual Observatory and the Grid

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005aspc..347..233n&link_type=abstract

Astronomical Data Analysis Software and Systems XIV ASP Conference Series, Vol. 347, Proceedings of the Conference held 24-27 Oc

Computer Science

Performance

Scientific paper

The Maximum-likelihood Brightest Cluster Galaxy algorithm, MaxBCG, finds galaxy clusters within the Sloan Digital Sky Survey (SDSS). We have coded a SQL version of the algorithm and compared the performance with an earlier Tcl-C-file-based implementation. The SQL database implementation runs 20 to 40 times faster. Our prototype and tests illustrate the benefits of combining computing clusters and database systems for data-intensive astronomical applications. Taking a step further, we extend our clustering conception to grid environments.

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