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Automatic Generation of Behavioral Hard Disk Drive Access Time Models
Predicting access times is a crucial part of predicting hard disk drive performance. Existing approaches use white-box modeling and …
Adam Crume
,
Carlos Maltzahn
,
Lee Ward
,
Thomas Kroeger
,
Matthew Curry
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Project
Automatic Generation of Behavioral Hard Disk Drive Access Time Models
Predicting access times is a crucial part of predicting hard disk drive performance. Existing approaches use white-box modeling and …
Adam Crume
,
Carlos Maltzahn
,
Lee Ward
,
Thomas Kroeger
,
Matthew Curry
PDF
Cite
Fourier-Assisted Machine Learning of Hard Disk Drive Access Time Models
Predicting access times is a crucial part of predicting hard disk drive performance. Existing approaches use white-box modeling and …
Adam Crume
,
Carlos Maltzahn
,
Lee Ward
,
Thomas Kroeger
,
Matthew Curry
,
Ron Oldfield
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Project
FLAMBES: Evolving Fast Performance Models
Adam Crume
,
Carlos Maltzahn
,
Jason Cope
,
Sam Lang
,
Rob Ross
,
Phil Carns
,
Chris Carothers
,
Ning Liu
,
Curtis L. Janssen
,
John Bent
,
Stephen Eidenbenz
,
Meghan Wingate
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On Bandwidth Smoothing
The bandwidth usage due to HTTP traffic often varies considerably over the course of a day, requiring high network performance during …
Carlos Maltzahn
,
Kathy Richardson
,
Dirk Grunwald
,
James Martin
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A Feasibility Study of Bandwidth Smoothing on the World-Wide Web Using Machine Learning
The bandwidth usage due to HTTP traffic often varies considerably over the course of a day, requiring high network performance during …
Carlos Maltzahn
,
Kathy Richardson
,
Dirk Grunwald
,
James Martin
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Improving Resource Utilization of Enterprise-Level World-Wide Web Proxy Servers
The resource utilization of enterprise-level Web proxy servers is primarily dependent on network and disk I/O latencies and is highly …
Carlos Maltzahn
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