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DTSTAMP:20230124T171525Z
LOCATION:D222
DTSTART;TZID=America/Chicago:20221114T155000
DTEND;TZID=America/Chicago:20221114T161000
UID:submissions.supercomputing.org_SC22_sess443_ws_xloop102@linklings.com
SUMMARY:Managed Network Services for Exascale Data Movement across Large G
 lobal Scientific Collaborations
DESCRIPTION:Workshop\n\nManaged Network Services for Exascale Data Movemen
 t across Large Global Scientific Collaborations\n\nGuiang\n\nUnique scient
 ific instruments designed and operated by large global collaborations are 
 expected to produce exabyte-scale data volumes per year by 2030.  These co
 llaborations depend on globally distributed storage and compute to turn ra
 w data into science.   While all of these infrastructures have batch sched
 uling capabilities to share compute, Research and Education networks lack 
 those capabilities.  There is thus uncontrolled competition for bandwidth 
 between and within collaborations.  As a result, data "hogs" disk space at
  processing facilities for much longer than it takes to process, leading t
 o vastly over-provisioned storage infrastructures.  Integrated co-scheduli
 ng of networks as part of high-level managed workflows might reduce these 
 storage needs by more than an order of magnitude.  This presentation descr
 ibes such a solution, demonstrates its functionality in the context of the
  Large Hadron Collider (LHC) at CERN, and presents the next-steps toward i
 ts use in production.\n\nSession Format: Recorded\n\nRegistration Category
 : Workshop Reg Pass
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