Karlsruhe 2024 – wissenschaftliches Programm
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T: Fachverband Teilchenphysik
T 44: Data, AI, Computing 4 (workflow)
T 44.1: Vortrag
Dienstag, 5. März 2024, 16:00–16:15, Geb. 30.34: LTI
Testing ATLAS computing resources with HammerCloud — •Alexander Mario Lory1, Günter Duckeck1, Benjamin Rottler2, Michael Böhler2, and Otmar Biebel1 — 1Ludwig-Maximilians-Universität, München — 2Albert-Ludwigs-Universität, Freiburg
HammerCloud is a framework for testing and benchmarking distributed resources of the LHC experiments ATLAS and CMS. It is a key component for the operation of the ATLAS distributed computing system, as the test results are used to automatically include or exclude resources from the pool of resources available to users. In this presentation recent use cases and developments within HammerCloud ATLAS are highlighted, including a new feature -- the automatic massive recovery mechanism, which efficiently recovers GRID resources on a large scale, addressing massive exclusions resulting from central issues.
Keywords: ATLAS; HammerCloud; GRID; distributed computing