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Abstract: Performance models of storage devices make it possible to evaluate storage resource configurations e#ciently, allowing systems to search automatically a large number of candidates before locating an optimal or near-optimal one. This thesis explores the feasibility of using machine learning techniques to build such performance models. The models are constructed through "training", during which the model construction algorithm observes storage devices under a set of training traces and builds the ... (Update)
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BibTeX entry: (Update)
@misc{ wang-performance,
author = "Mengzhi Wang",
title = "Performance Modeling of Storage Devices Using Machine Learning",
url = "citeseer.ist.psu.edu/wang06performance.html" }
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[Article contains additional citations not shown here]
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