The ATLAS DDM Tracer monitoring framework

Zang, Dongsong; Garonne, V.; Barisits, Martin; Lassnig, M.; Stewart, G. A.; Molfetas, A.; Beermann, T. A.

doi:10.1088/1742-6596/396/3/032119

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Atlas Distributed Data and Workload Management1

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“…The ATLAS DDM tracer system [9] collects data of each file access operation executed by PanDA. This provides file access traces with additional information such as the corresponding dataset, the storage element that was accessed and the user associated to the respective PanDA job.…”

Section: Atlas Distributed Data and Workload Managementmentioning

confidence: 99%

Performance and impact of dynamic data placement in ATLAS

et al. 2019

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For high-throughput computing the efficient use of distributed computing resources relies on an evenly distributed workload, which in turn requires wide availability of input data that is used in physics analysis. In ATLAS, the dynamic data placement agent C3PO was implemented in the ATLAS distributed data management system Rucio which identifies popular data and creates additional, transient replicas to make data more widely and more reliably available. This proceedings presents studies on the performance of C3PO and the impact it has on throughput rates of distributed computing in ATLAS. Furthermore, results of a study on popularity prediction using machine learning techniques are presented.

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Section: Atlas Distributed Data and Workload Managementmentioning

confidence: 99%