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X-LIC-LOCATION:Europe/Stockholm
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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DTSTAMP:20260421T090513Z
LOCATION:Bldg. 6 - Room 103
DTSTART;TZID=Europe/Stockholm:20260630T134500
DTEND;TZID=Europe/Stockholm:20260630T141500
UID:submissions.pasc-conference.org_PASC26_sess145_msa191@linklings.com
SUMMARY:Data management and data streaming services at large scale experim
 ents
DESCRIPTION:Tatiana Korchuganova (University of Pittsburgh)\n\nAs scientif
 ic experiments scale toward the exabyte frontier, the primary bottleneck i
 s shifting from raw storage capacity to intelligent orchestration of data 
 movement, cataloging and reliable access. In high-energy physics, the expe
 riments at the Large Hadron Collider (LHC) manage over an exabyte of data 
 with the Worldwide LHC Computing Grid sustaining a massive daily transfer 
 volume of up to 14 PB. These volumes are projected to increase significant
 ly in the High-Luminosity LHC. In astronomical surveys, the Vera C. Rubin 
 Observatory orchestrates a high-velocity alert stream within 60-second lat
 ency bound while utilizing a metadata-driven abstraction layer to manage 5
  PB of data acquired per year over the next decade. Similarly, in material
 s science and fusion, the focus is on synchronizing high-throughput micros
 copy and continuous sensor streams with HPC resources for near-real-time a
 nalysis.   \nThis talk explores two critical parts of modern data orchestr
 ation: the seamless streaming of acquired experimental data into permanent
  storage and the subsequent global distribution required for processing an
 d collaborative analysis. We will examine case studies drawn from large-sc
 ale scientific infrastructures, highlight present and future challenges, a
 nd discuss how these problems are being addressed by scalable data managem
 ent, including intelligent data placement algorithms, adaptive replication
  and fault-aware streaming services.\n\nDomain: Engineering, Physics, Comp
 utational Methods and Applied Mathematics\n\nSession Chairs: Raees Ahmad K
 han (University of Pittsburgh, CERN); Tatiana Korchuganova (University of 
 Pittsburgh, CERN); and Alexei Klimentov (Brookhaven National Laboratory)\n
 \n
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