BEGIN:VCALENDAR
VERSION:2.0
PRODID:Linklings LLC
BEGIN:VTIMEZONE
TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:19700308T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:19701101T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20250626T233533Z
LOCATION:B302-B305
DTSTART;TZID=America/New_York:20241121T100000
DTEND;TZID=America/New_York:20241121T170000
UID:submissions.supercomputing.org_SC24_sess534_post128@linklings.com
SUMMARY:Comparing Cache Utilization Trends for Regional Scientific Caches 
 with Transfer Learning Models
DESCRIPTION:Erica Wang (California Institute of Technology, Lawrence Berke
 ley National Laboratory (LBNL))\n\nTo enhance data sharing and reduce acce
 ss latency in scientific collaborations, high energy physics (LHC CMS expe
 riment) employs regional in-network storage caches. Accurate predictions o
 f cache utilization trends help design new caching policies and improve ca
 pacity planning. This study leverages the SoCal cache access trends to imp
 rove prediction on the newer caches in Chicago and Boston through transfer
  learning. We also investigate the impact of doubling the Chicago cache's 
 storage capacity on its cache hit rate.\n\nRegistration Category: Tech Pro
 gram Reg Pass, Exhibits Reg Pass\n\nSession Chairs: Ayesha Afzal (Friedric
 h-Alexander University, Erlangen-Nuremberg; Erlangen National High Perform
 ance Computing Center); Sally Ellingson (University of Kentucky); and Alan
  Sussman (University of Maryland)\n\n
END:VEVENT
END:VCALENDAR