(Enter summary)
Abstract: This paper applies statistical model-induction techniques
to the problem of forecasting response times
in storage systems. Our work differs from prior research
in several ways: we regard storage systems as
black boxes; we automatically induce models rather
than constructing them from detailed expert knowledge;
we use lightweight passive observations, rather
than extensive controlled experiments, to collect input
data; we forecast individual response times rather
than aggregates or averages; and ... (Update)
Cited by: More
Performance Modeling of Storage Devices Using Machine Learning - Wang (2006)
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BibTeX entry: (Update)
Terence Kelly, Ira Cohen, Moises Goldszmidt, and Kimberly Keeton. Inducing models of black-box storage arrays. Technical Report HPL-2004. http://citeseer.ist.psu.edu/kelly04inducing.html More
@misc{ kelly04inducing,
author = "T. Kelly and I. Cohen and M. Goldszmidt and K. Keeton",
title = "Inducing models of black-box storage arrays",
text = "Terence Kelly, Ira Cohen, Moises Goldszmidt, and Kimberly Keeton. Inducing
models of black-box storage arrays. Technical Report HPL-2004.",
year = "2004",
url = "citeseer.ist.psu.edu/kelly04inducing.html" }
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