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Remote Participation
Performance Prediction of Large Data Transfers
Event Type
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Posters
Tags
In-Person Only
Registration Categories
TP
XO / EX
TimeThursday, 18 November 20218:30am - 5pm CST
LocationSecond Floor Atrium
DescriptionScientific facilities around the world transfer terabytes of data to Berkeley Lab’s National Energy Research Scientific Computing Center (NERSC) for processing. These large data transfers can cause congestion on the computer network. To better manage these large transfers, we plan to predict their expected transfer time using machine learning techniques. Through a careful study of traffic logs (Tstat), we find an effective way of utilizing information from recently completed transfers to improve the prediction accuracy by up to 30%.
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