I/O performance studies of analysis workloads on production and dedicated resources at CERN

Conference · 31 December 2023 · EPJ Web Conf.

DOI:https://doi.org/10.1051/epjconf/202429507025· OSTI ID:2468768

Sciabà, Andrea ^[1]; Blomer, Jakob ^[1]; Canal, Philippe ^[2]; Duellmann, Dirk ^[1]; Guiraud, Enrico ^[1]; Naumann, Axel ^[1]; Padulano, Vincenzo Eduardo ^[1]; Panzer-Steindel, Bernd ^[1]; Peters, Andreas ^[1]; Schulz, Markus ^[1]; Smith, David ^[1]

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1. CERN
2. Fermilab

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.

• Research Organization: Fermi National Accelerator Laboratory (FNAL), Batavia, IL (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
• DOE Contract Number: AC02-07CH11359
• OSTI ID: 2468768
• Report Number(s): FERMILAB-CONF-24-0689-CSAID; oai:inspirehep.net:2785579
• Journal Information: EPJ Web Conf., Journal Name: EPJ Web Conf. Vol. 295
• Country of Publication: United States
• Language: English