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DTSTART;TZID=America/Chicago:20251121T105500
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UID:submissions.supercomputing.org_SC25_sess232_ws_hpct107@linklings.com
SUMMARY:Seeking Cost-Optimal Infrastructure Size for Distributed Filesyste
 ms: A Ceph Case Study
DESCRIPTION:Niccolo Tosato and Isac Pasianotto (University of Trieste, Are
 a science park) and Ruggero Lot and Stefano Cozzini (Area science park)\n\
 nDistributed Filesystems (DFS) are a crucial component of modern computing
  environments, and their performance is critical to the success of all the
  facilities that rely on them. However, predicting\nthe DFS I/O performanc
 e solely based on the storage system hardware is not trivial.\nIn this pap
 er, we address this challenge by presenting an empirical method that tries
  to quantitatively assess how hardware configuration choices influence the
  performance of a DFS using\nCeph as a case study. We investigate the infl
 uence of three hardware parameters—number of CPU cores, amount of RAM, and
  disk bandwidth. To control these variables, we relied on the Linux hotplu
 g interface and Cgroups, avoiding additional software overhead.\nOur resul
 ts reveal that for the analyzed workloads, decreasing hardware resources d
 oes not always yield proportional performance losses. This method offers p
 ractical insights for designing cost-effective distributed storage systems
 , remaining general enough to be applied to other filesystems.\n\nRecordin
 g: Livestreamed, Recorded\n\nRegistration Category: Technical Program Reg 
 Pass, Workshop Reg Pass\n\nSession Chairs: Verónica G. Melesse Vergara (Oa
 k Ridge National Laboratory (ORNL)); Bilel Hadri (King Abdullah University
  of Science and Technology (KAUST)); Vasileios Karakasis (NVIDIA Corporati
 on); Nick Hagerty (Oak Ridge National Laboratory (ORNL)); and Andreas Hert
 en (Forschungszentrum Jülich, Jülich Supercomputing Centre (JSC))\n\n
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