Title :
CASJobs: A workflow environment designed for large scientific catalogs
Author :
Li, Nolan ; Szalay, Alex
Author_Institution :
Dept. of Comput. Sci., Johns Hopkins Univ., Baltimore, MD
Abstract :
As some scientific data resources grow well past the terabyte mark, so do the technical challenges of analyzing and retrieving such data. When presented with such a large volume, prior data delivery techniques, such as the time-honored system of simply copying all data to local storage prior to analysis, become impractical. We present CASJobs, an online workbench that focuses on enabling server-side exploratory and analytical tasks on large sets of data.
Keywords :
cataloguing; data analysis; natural sciences computing; CASJobs; data analysis; data delivery; data resources; data retrieval; large scientific catalogs; server-side exploratory task; time-honored system; workflow environment; Astronomy; Catalogs; Computer science; Costing; Costs; Data analysis; Information retrieval; Pattern analysis; Physics; Relational databases;
Conference_Titel :
Workflows in Support of Large-Scale Science, 2008. WORKS 2008. Third Workshop on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-2827-4
DOI :
10.1109/WORKS.2008.4723957
