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DTSTAMP:20210402T160546Z
LOCATION:Track 10
DTSTART;TZID=America/New_York:20201113T174000
DTEND;TZID=America/New_York:20201113T174500
UID:submissions.supercomputing.org_SC20_sess232_pec239@linklings.com
SUMMARY:Earthquake Early Warning (EEW) System: A Case for Urgent Analytics
  across the Computing Continuum
DESCRIPTION:Workshop\n\nEarthquake Early Warning (EEW) System: A Case for 
 Urgent Analytics across the Computing Continuum\n\nBalouek-Thomert\n\nLigh
 tning talk: The Early Earthquake Warning (EEW) workflow is an urgent, time
 -critical, data-driven scientific workflow that leverages distributed data
  sources, combining streams from geo-distributed seismometers and GPS sens
 ors to detect tsunamis. Realizing such a workflow presents significant cha
 llenges: while our capacity for generating data is expanding dramatically,
  our ability for managing, analyzing and transforming this data into knowl
 edge in a timely manner has not kept pace. In this talk I will explore how
  the computing continuum, spanning resources at the edges, in the core and
  in-between, can be harnessed to support urgent science, EEW in particular
 , and present a system stack that can enable the fluid integration of dist
 ributed analytics across a dynamic infrastructure. Specifically, I will de
 scribe programming abstractions to express what data to process and where 
 in the continuum to process it, and middleware that automates the discover
 y of resources and the orchestration of computations across these resource
 s.\n\nTag: Applications, Scientific Computing, Simulation, State of the Pr
 actice, Technology Challenge\n\nRegistration Category: Workshop Reg Pass
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