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Brandon Salmon |
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Introduction |
I am currently a
Ph.D. candidate at Carnegie Mellon University.
I work in the Parallel Data Lab with my
advisor Greg Ganger. |
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Contact Info |
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Resume |
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Current Projects |
The home digital environment is an area of growth and change
in the world of computing.
Digital music players, DVDs, cameras and digital video recorders have
converted much of the remaining analog media in the home into the digital
realm. Managing this burgeoning
amount of data and devices will be difficult and time consuming. However, home users should not be
expected to spend time dealing with this kind of management. My work focuses on automating the
replication and migration of data, so that it will be both reliable and
available at devices where it is needed without requiring much user input. |
Self-* |
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Previous Projects |
Continuous Reorganization |
Freeblock Scheduling |
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Papers |
Learning to Share: A Study of Sharing Among Home Storage Devices. Brandon Salmon, Frank Hady, Jay Melican. Carnegie Mellon University Parallel Data Lab Technical Report CMU-PDL-07-107, October, 2007. Abstract / PDF |
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Putting Home Storage Management into Perspective. Brandon Salmon, Steven W. Schlosser, Lily B. Mummert, Gregory R. Ganger. Carnegie Mellon University Parallel Data Lab Technical Report CMU-PDL-06-110, September 2006. Abstract / PDF |
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Early Experiences on the Journey Towards Self-* Storage.. Michael Abd-El-Malek, William V. Courtright II, Chuck Cranor, Gregory R. Ganger, James Hendricks, Andrew J. Klosterman, Michael Mesnier, Manish Prasad, Brandon Salmon, Raja R. Sambasivan, Shafeeq Sinnamohideen, John D. Strunk, Eno Thereska, Matthew Wachs, Jay J. Wylie. IEEE Data Engineering Bulletin 29(3). Special issue on self-managing database systems. September 2006.Abstract / PDF |
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Relative fitness models for storage. Michael Mesnier, Matthew Wachs, Brandon Salmon, Gregory R. Ganger. SIGMETRICS Performance Evaluation Review 33(4): 23-28 (2006). Abstract / PDF |
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End-to-end
tracing in a cluster-based storage system: a feasibility study. Eno Thereska, Brandon Salmon, John Strunk,
Matthew Wachs, Michael Abd-El-Malek, Julio Lopez, Gregory R. Ganger.
Proceedings of the Joint International Conference on Measurement and Modeling
of Computer Systems (SIGMETRICS'06), Saint-Malo, France. June 26th-30th 2006. Abstract / PDF |
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Ursa Minor:
versatile cluster-based storage. Michael
Abd-El-Malek, William V. Courtright, Chuck Cranor, Gregory R. Ganger, James
Hendricks, Andrew J. Klosterman, Michael Mesnier, Manish Prasad, Brandon
Salmon, Raja R. Sambasivan, Shafeeq Sinnamohideen, John Strunk, Eno Thereska,
Matthew Wachs, Jay J. Wylie. Proceedings of the 4th USENIX Conference on File
and Storage Technologies (FAST '05), San Francisco, CA. December 13-16 2005. Abstract
/ PDF
[490K] Best paper award |
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Challenges in Building a Two-Tiered Learning Architecture for Disk Layout. Brandon Salmon, Eno Thereska, Craig A.N. Soules, John D. Strunk, Gregory R. Ganger. Carnegie Mellon University Parallel Data Laboratory Technical Report CMU-PDL-04-109. August, 2004. Abstract / Postscript [6.8M] / PDF [344K] |
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Design and
Implementation of a Freeblock Subsystem.
Eno Thereska, Jiri Schindler, Christopher R. Lumb, John Bucy, Brandon Salmon,
Gregory R. Ganger. Carnegie Mellon University Technical Report
CMU-PDL-03-107. December 2003. PDF
[160K] Best student
paper award |
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A Framework for Building Unobtrusive Disk Maintenance Applications. Eno Thereska, Jiri Schindler, John Bucy, Brandon Salmon, Christopher R. Lumb, Gregory R. Ganger. Proceedings of the 3rd USENIX Conference on File and Storage Technologies (FAST '04). San Francisco, CA. March 31, 2004. Abstract / Postscript [5.1M] / PDF [148K] |
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A Two-Tiered Software Architecture for Automated Tuning of Disk Layouts. Brandon Salmon, Eno Thereska, Craig A.N. Soules, Gregory R. Ganger. First Workshop on Algorithms and Architectures for Self-Managing Systems. In conjunction with Federated Computing Research Conference (FCRC). San Diego, CA. June 11, 2003. Also published as Carnegie Mellon University SCS Technical Report CMU-CS-03-130. Abstract / Postscript [718K] / PDF [405K] |
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Classes |
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