Attribute-Based Prediction of File Properties (HCS-TR-14-03)
journal contributionposted on 01.12.2003 by Daniel Ellard, Michael Mesnier, Eno Thereska, Gregory R. Ganger, Margot Seltzer
Any type of content formally published in an academic journal, usually following a peer-review process.
We 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.