PredictingScientificDataTransferCharacteristicsWilliamAgnew,MichaelFischer,KyleChard,IanFoster

GlobusAllowingcommunicationandcollaborationforusersaroundtheworld.-Kyle Chard

LongTailedDistributions

EndpointPredictionHeuristics

• History:Themostlikelysource(S)/destination(D)endpointasthemostrecentS/Dendpointusedbyauser

• MarkovChain:AtransitionmatrixoftheobservedprobabilitiesofusingeachendpointasaS/DconditionedonaparticularendpointbeingpreviouslyusedasaS/D

• MostUniqueUsers:ThemostlikelyS/DendpointistheS/Dendpointwiththemostuniqueusers

• Institution: ThemostlikelyS/Dendpointforauseristhemostpopularendpointatthatuser’sinstitution

• EndpointOwnership:Themostlikelyendpointisthemostrecentendpointtheusercreated

EnsembleMethods:UsingRecurrentNeuralNetwork

• Combinemultipleheuristicsintoabetterheuristic

• Simpleexample:outputthetoprecommendationofeachheuristic

Results:TransferAccuracy

Results:UserAccuracy

ColdStart:PredictionsforNewUsers