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dc.contributor.authorEllard, Daniel
dc.contributor.authormesnier, Michael
dc.contributor.authorThereska, Eno
dc.contributor.authorGanger, Gregory R.
dc.contributor.authorSeltzer, Margo I.
dc.date.accessioned2016-02-25T17:37:37Z
dc.date.issued2003
dc.identifier.citationEllard, Daniel, Michael Mesnier, Eno Thereska, Gregory R. Ganger, and Margo Seltzer. 2003. Attribute-Based Prediction of File Properties. Harvard Computer Science Group Technical Report TR-14-03.en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:25620474
dc.description.abstractWe present evidence that attributes that are known to the file system when a file is created, such as its name, permission mode, and owner, are often strongly related to future properties of the file such as its ultimate size, lifespan, and access pattern. More importantly, we show that we can exploit these relationships to automatically generate predictive models for these properties, and that these predictions are sufficiently accurate to enable optimizations.en_US
dc.description.sponsorshipEngineering and Applied Sciencesen_US
dc.language.isoen_USen_US
dash.licenseLAA
dc.titleAttribute-Based Prediction of File Propertiesen_US
dc.typeResearch Paper or Reporten_US
dc.description.versionVersion of Recorden_US
dash.depositing.authorSeltzer, Margo I.
dc.date.available2016-02-25T17:37:37Z
dash.authorsorderedfalse
dash.contributor.affiliatedSeltzer, Margo


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