BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
X-LIC-LOCATION:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20230831T095754Z
LOCATION:Seehorn
DTSTART;TZID=Europe/Stockholm:20230626T140000
DTEND;TZID=Europe/Stockholm:20230626T160000
UID:submissions.pasc-conference.org_PASC23_sess132@linklings.com
SUMMARY:MS1E - Data Management across the Computing Continuum
DESCRIPTION:Minisymposium\n\nDuring the last few years, applications in sc
 ientific fields such as weather forecasting and radio astronomy have evolv
 ed into complex data-centric workflows distributed over what is known as t
 he computing continuum, i.e. all the computing resources from the Edge (ca
 ptors, sensors, ...) to Cloud and HPC infrastructures. These workflows exh
 ibit new scenarios across the domains of "modelling and simulation", "AI",
  "Analytics" and "Internet of things" (IoT) for which advanced data manage
 ment techniques have to be devised. Achieving this goal requires adressing
  new data-related challenges, both within the infrastructures themselves, 
 with ever-increasing performance and flexibility requirements, but also be
 tween geo-distributed systems. During our minisymposium, we will address t
 hese challenges from two perspectives. First, we will try to get an overvi
 ew of the needs of scientific workflows through concrete examples such as 
 the Square Kilometre Array (SKA) use-case whose goal is to build the world
 ’s largest radio telescope, although these requirements are present in man
 y other areas. Second, we will review the latest research on the topic of 
 data management across the computing continuum, from the point of view of 
 both architectures and software components.\n\nData Centric Computing & th
 e Computing Continuum, the IO-SEA Project Proposal\n\nMore and more High-P
 erformance Computing workflows are based upon data collected in the field 
 and some of them require a careful design in term of data management. For 
 instance, tsunami risk prediction processes data collected from seismic se
 nsors spread around the world. When seismic waves are dete...\n\n\nPhilipp
 e Couvée (Atos)\n---------------------\nThe SKA Data Management Use Case: 
 Global Data Distribution in the Regional Centre Network\n\nSKA will be a w
 orld-leading Radio Observatory generating up to 2 PBytes per day of scient
 ific data products tuned to meet the needs of particular astrophysics expe
 riments. To actually undertake scientific analysis, a global netowrk of "S
 KA Regional Centres" is envisaged, offering key capabilities in...\n\n\nRo
 sie Bolton and Rohini Joshi (SKAO)\n---------------------\nPanel Discussio
 n\n\nDuring this last time slot, we will have an open discussion with the 
 three speakers and the audience. The goal will be to identify data managem
 ent barriers that limit the scaling of scientific applications and workflo
 ws.\n\n\nFrançois Tessier (INRIA)\n---------------------\nA Data-Centric P
 erspective on Scientific Workflows in the Computing Continuum\n\nConvergin
 g high-performance computing with systems and methods inspired in Big Data
  Science and artificial intelligence is crucial to advance knowledge disco
 very in a data-intensive landscape. Nowadays, complex scientific workflows
  must be able to extract knowledge and produce insight at every stage...\n
 \n\nSilvina Caino-Lores (University of Tennessee)\n\nDomain: Computer Scie
 nce, Machine Learning, and Applied Mathematics 
\n\nSession Chair: Françoi
 s Tessier (INRIA)
END:VEVENT
END:VCALENDAR