Authors: Johannes Elmsheuser, Ludwig-Maximilians-Universitaet Muenchen Federica Legger, Ludwig-Maximilians-Universitaet Muenchen Ramon Medrano Llamas, CERN Gianfranco Sciacca, Universitaet Bern Daniel Colin van der Ster, CERN

Type: Talk

Track: Distributed Processing and Data Handling

Abstract: With the exponential growth of LHC (Large Hadron Collider) data in 2012, distributed computing has become the established way to analyze collider data. The ATLAS grid infrastructure includes more than 130 sites worldwide, ranging from large national computing centers to smaller university clusters. HammerCloud was previously introduced with the goals of enabling VO- and site-administrators to run validation tests of the site and software infrastructure in an automated or on-demand manner. The HammerCloud infrastructure has been constantly improved to support the addition of new test work-flows. These new work-flows comprise e.g. tests of the ATLAS nightly build system, ATLAS MC production system, XRootD federation FAX and new site stress test work-flows. We report on the development, optimization and results of the various components in the HammerCloud framework.