CERN Accelerating science

Article
Report number FERMILAB-CONF-24-0689-CSAID
Title I/O performance studies of analysis workloads on production and dedicated resources at CERN
Author(s) Sciabà, Andrea (CERN) ; Blomer, Jakob (CERN) ; Canal, Philippe (Fermilab) ; Duellmann, Dirk (CERN) ; Guiraud, Enrico (CERN) ; Naumann, Axel (CERN) ; Padulano, Vincenzo Eduardo (CERN) ; Panzer-Steindel, Bernd (CERN) ; Peters, Andreas (CERN) ; Schulz, Markus (CERN) ; Smith, David (CERN)
Publication 2024
Number of pages 9
In: EPJ Web Conf. 295 (2024) 07025
In: 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.07025
DOI 10.1051/epjconf/202429507025
Subject category Computing and Computers
Abstract The recent evolutions of the analysis frameworks and physics data formats of the LHC experiments provide the opportunity of using central analysis facilities with a strong focus on interactivity and short turnaround times, to complement the more common distributed analysis on the Grid. In order to plan for such facilities, it is essential to know in detail the performance of the combination of a given analysis framework, of a specific analysis and of the installed computing and storage resources. This contribution describes performance studies performed at CERN, using the EOS disk-based storage, either directly or through an XCache instance, from both batch resources and highperformance compute nodes which could be used to build an analysis facility. A variety of benchmarks, both synthetic and based on real-world physics analyses and their corresponding input datasets, are utilized. In particular, the RNTuple format from the ROOT project is put to the test and compared to the latest version of the TTree format, and the impact of caches is assessed. In addition, we assessed the difference in performance between the use of storage system specific protocols, like XRootd, and FUSE. The results of this study are intended to be a valuable input in the design of analysis facilities, at CERN and elsewhere.
Copyright/License publication: © 2024 The authors (License: CC-BY-4.0)

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 Record created 2024-12-12, last modified 2024-12-12


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