Grid site testing for ATLAS with HammerCloud

20th International Conference on Computing in High Energy and Nuclear Physics

物理学;计算机科学

Elmsheuser, J.^1 ; Hönig, F.^1 ; Legger, F.^1 ; Llamas, R. Medrano^1 ; Sciacca, F.G.^3 ; Van Der Ster, D.^2

Ludwig-Maximilians-Universität München, Germany^1

CERN, Switzerland^2

Universität Bern, Switzerland^3

关键词: Computing center;    Exponential growth;    Grid infrastructures;    Large Hadron Collider;    Production system;    Software infrastructure;    University clusters;    Virtual organisations;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/513/3/032030/pdf
DOI  :  10.1088/1742-6596/513/3/032030

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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 virtual organisations (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 workflows. These new workflows comprise e.g. tests of the ATLAS nightly build system, ATLAS Monte Carlo production system, XRootD federation (FAX) and new site stress test workflows. We report on the development, optimization and results of the various components in the HammerCloud framework.