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DTSTART:19700308T020000
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DTSTAMP:20210402T160554Z
LOCATION:Track 10
DTSTART;TZID=America/New_York:20201111T103000
DTEND;TZID=America/New_York:20201111T105000
UID:submissions.supercomputing.org_SC20_sess203_ws_scc106@linklings.com
SUMMARY:SELVEDAS: A Data and Compute as a Service Workflow Demonstrator Ta
 rgeting Supercomputing Ecosystems
DESCRIPTION:Workshop\n\nSELVEDAS: A Data and Compute as a Service Workflow
  Demonstrator Targeting Supercomputing Ecosystems\n\nLeong, Stadler, Dorsc
 h, Aliaga, Ashton\n\nScientists from different communities, especially lar
 ge-scale experimental facilities, have unique data and compute requirement
 s that cannot be easily realized in a general-purpose supercomputing envir
 onment without significant modifications to either domain requirements or 
 supercomputing operational configurations. One of the crucial customizatio
 ns required is the orchestration of on-demand and auto-scale workflows on 
 a largely batch-driven supercomputing system. On-demand, auto-scale and re
 siliency are features that are typically associated with cloud technologie
 s.  In order to empower a wide variety of users, concepts such as X-as-a-S
 ervice have been introduced. Experimental facilities' workflows from PSI t
 hat will leverage Data and Compute as a Service in supercomputing ecosyste
 m at CSCS will be shared. Three use cases were implemented to demonstrate 
 the feasibility and benefits of applying a cloud-driven approach to superc
 omputing ecosystems.\n\nTag: Big Data, Cloud and Distributed Computing, Ex
 treme Scale Computing, Scientific Computing, Workflows\n\nRegistration Cat
 egory: Workshop Reg Pass
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