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Emulating Goliath Storage Systems with David Nitin Agrawal, Leo Arulraj, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
 

Summary: Emulating Goliath Storage Systems with David
Nitin Agrawal, Leo Arulraj, Andrea C. Arpaci-Dusseau, Remzi H. Arpaci-Dusseau
NEC Laboratories America University of Wisconsin­Madison
nitin@nec-labs.com {arulraj, dusseau, remzi}@cs.wisc.edu
Abstract
Benchmarking file and storage systems on large file-
system images is important, but difficult and often in-
feasible. Typically, running benchmarks on such large
disk setups is a frequent source of frustration for file-
system evaluators; the scale alone acts as a strong deter-
rent against using larger albeit realistic benchmarks. To
address this problem, we develop David: a system that
makes it practical to run large benchmarks using modest
amount of storage or memory capacities readily available
on most computers. David creates a "compressed" ver-
sion of the original file-system image by omitting all file
data and laying out metadata more efficiently; an online
storage model determines the runtime of the benchmark
workload on the original uncompressed image. David
works under any file system as demonstrated in this pa-

  

Source: Arpaci-Dusseau, Remzi - Department of Computer Sciences, Department of Computer Sciences, University of Wisconsin at Madison
Liblit, Ben - Department of Computer Sciences, University of Wisconsin at Madison

 

Collections: Computer Technologies and Information Sciences