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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20190719T085744Z
LOCATION:HG D 1.2
DTSTART;TZID=Europe/Stockholm:20190614T103000
DTEND;TZID=Europe/Stockholm:20190614T110000
UID:submissions.pasc-conference.org_PASC19_sess139_msa220@linklings.com
SUMMARY:Observational Facility Needs – Data Management and Analysis at the
  Cross-Facility Interface
DESCRIPTION:Minisymposium\nComputer Science and Applied Mathematics, Emerg
 ing Application Domains, Chemistry and Materials, Physics, Life Sciences\n
 \nObservational Facility Needs – Data Management and Analysis at the Cross
 -Facility Interface\n\nMann\n\nWith the Swiss Light Source, the Swiss X-Ra
 y Free-Electron Laser, and the Swiss Spallation Neutron Source, PSI operat
 es large-scale research facilities (LSRF). Progress in accelerator and det
 ector technologies is leading to a massive growth of data generated from e
 xperiments. 3D imaging and time-resolved data further accelerate this tren
 d. For the years 2019 to 2023, data volumes in the range of 10 to 20 PB pe
 r year are expected. For the Swiss Light Source 2.0 a data volume of 80 PB
  for the first year of operation (foreseen in 2025) and 200 PB per year fo
 r the years to follow are predicted. LSRFs require complex data management
  pipelines, starting with data readout at detectors, real time data proces
 sing providing fast feedback during the experiments, data reduction, offli
 ne scientific analysis of data and archiving of raw and derived data at th
 e end of the chain. Current local architectures will not provide the neces
 sary scalability and elasticity nor will they scale from a cost point of v
 iew. New hybrid solutions have to address aspects as HPC on demand, burst 
 computing, near time processing of large data sets etc. In addition to the
  technical challenges, new operational models have to be developed.
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