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BEGIN:VEVENT
DTSTAMP:20211207T055400Z
LOCATION:Second Floor Atrium
DTSTART;TZID=America/Chicago:20211118T083000
DTEND;TZID=America/Chicago:20211118T170000
UID:submissions.supercomputing.org_SC21_sess243_spostu104@linklings.com
SUMMARY:Performance Prediction of Large Data Transfers
DESCRIPTION:ACM Student Research Competition: Graduate Poster, ACM Student
  Research Competition: Undergraduate Poster, Posters\n\nPerformance Predic
 tion of Large Data Transfers\n\nCheung\n\nScientific facilities around the
  world transfer terabytes of data to Berkeley Lab’s National Energy Resear
 ch Scientific Computing Center (NERSC) for processing. These large data tr
 ansfers can cause congestion on the computer network. To better manage the
 se large transfers, we plan to predict their expected transfer time using 
 machine learning techniques. Through a careful study of traffic logs (Tsta
 t), we find an effective way of utilizing information from recently comple
 ted transfers to improve the prediction accuracy by up to 30%.\n\nTag: In-
 Person Only\n\nRegistration Category: Tech Program Reg Pass, Exhibit Hall 
 Only
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