Abstract Attribute-Based Prediction of File Properties(4)

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.

systems.We leverage this work and utilize a form of classi?cation tree to capture the relationships between ?le attributes and their behaviors,as further described in Section5.

The work we present here does not focus on new heuristics or policies for optimizing the?le system.In-stead it enables a?le system to choose the proper policies to apply by predicting whether or not the assumptions on which these policies rely will hold for a particular?le. 3The Traces

To demonstrate that our?ndings are not con?ned to a single workload,system,or set of users,we analyze traces taken from three servers:

DEAS03traces a Network Appliance Filer that serves the home directories for professors,graduate stu-dents,and staff of the Harvard University Divi-sion of Engineering and Applied Sciences.This trace captures a mix of research and development, administrative,and email traf?c.The DEAS03 trace begins at midnight on2/17/2003and ends on 3/2/2003.

EECS03traces a Network Appliance Filer that serves the home directories for some of the professors, graduate students,and staff of the Electrical Engi-neering and Computer Science department of the Harvard University Division of Engineering and Applied Sciences.This trace captures the canonical engineering workstation workload.The EECS03 trace begins at midnight on2/17/2003and ends on 3/2/2003.

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