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DTSTAMP:20250822T115806Z
LOCATION:Room 5.2D11
DTSTART;TZID=Europe/Stockholm:20250616T160000
DTEND;TZID=Europe/Stockholm:20250616T163000
UID:submissions.pasc-conference.org_PASC25_sess120_msa163@linklings.com
SUMMARY:Rucio: Scientific Data Management
DESCRIPTION:Dimitrios Christidis (CERN)\n\nThe management of scientific da
 ta is a complex task, especially when they are distributed across geograph
 ically-dispersed and heterogeneous storages. Rucio was developed originall
 y for the needs of the high-energy physics experiment ATLAS, running at th
 e Large Hadron Collider (LHC) at CERN. With over a decade of successful op
 eration and actively managing over one exabyte of data, Rucio has proven t
 o be scalable and performant. Thanks to its design, features, and strong c
 ommunity support, numerous other scientific collaborations, both in the ar
 ea of high-energy physics and beyond, have chosen to adopt Rucio for their
  data-management needs. This talk aims to be an introduction to Rucio, exp
 laining its fundamental concepts and describing some of its key features.\
 n\nDomain: Climate, Weather, and Earth Sciences, Engineering, Physics, Com
 putational Methods and Applied Mathematics\n\nSession Chairs: Maria Girone
  (CERN), Valerio Pascucci (University of Utah), and Michela Taufer (Univer
 sity of Tennessee)\n\n
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