Automatic ARIMA Time Series Modeling and Forecasting for Adaptive Input /Output Prefetching
Tran, Nancy Ngoc
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Permalink
https://hdl.handle.net/2142/81603
Description
Title
Automatic ARIMA Time Series Modeling and Forecasting for Adaptive Input /Output Prefetching
Author(s)
Tran, Nancy Ngoc
Issue Date
2002
Doctoral Committee Chair(s)
Daniel A. Reed
Department of Study
Computer Science
Discipline
Computer Science
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Computer Science
Language
eng
Abstract
To validate our approach, we built a prototype that integrates adaptive prefetching with caching and local disk striping in the PPFS2 [51] testbed. Results obtained for a computational physics code demonstrate 30% improvement in total execution time over the traditional Unix file system on three Linux clusters, equipped with different hardware configurations. More importantly, this performance improvement has small memory requirements and is shown to scale with increasing I/O intensity.
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