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Abstract: In this thesis, I show how network storage servers can infer useful information about the requests they are likely to see in the future by analyzing the history of requests they have observed in the past. I also show that this information can be used to improve future decisions about disk block allocation and read-ahead and thereby increase network storage server performance without any change to its clients or the applications running on its clients. (Update)
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BibTeX entry: (Update)
@phdthesis{ ellard-nfs,
author = "Daniel Ellard",
title = "Trace-Based Analyses and Optimizations for Network Storage Servers",
school = "Harvard University",
year = "2004",
month = "May",
url = "citeseer.ist.psu.edu/ellard04tracebased.html" }
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28 Passive NFS Tracing of Email and Research Workloads - Ellard, Ledlie et al. - 2003
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3 Attribute-Based Prediction of File Properties - Ellard, Mesnier et al. - 2003
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1 An application-aware data storage model - Anderson, Griffioen - 1999
1 Robust, Portable I/O Scheduling with the Disk Mimic - Popovici, Arpaci-Dusseau et al. - 2003
1 The Utility of File Names - Ellard, Ledlie et al. - 2003
1 nfslogd(1M (context) - Microsystems
1 MEMS-based storage devices and standard disk interfaces: A s.. - Schlosser, Ganger - 2004
1 An NFS Trace Player for File System Evaluation - Zhu, Chen et al. - 2003
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Documents on the same site (http://www.eecs.harvard.edu/~ellard/index.html): More
NFS Tricks and Benchmarking Traps - Ellard, Seltzer (2003) (Correct)
The File System Interface is an Anachronism - Ellard (2003) (Correct)
DISP: Practical, Efficient, Secure and Fault Tolerant Data.. - Ellard, Megquier (2003) (Correct)
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