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CASJobs: A workflow environment designed for large scientific catalogs

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2 Author(s)
Nolan Li ; Johns Hopkins University, Department of Computer Science, 3400 N. Charles Street, Baltimore, MD 21218, USA ; Alex Szalay

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.

Published in:

2008 Third Workshop on Workflows in Support of Large-Scale Science

Date of Conference:

17-17 Nov. 2008