CRSS: Brian Madden

Office: E2-381
madden «at» soe·ucsc·edu

Brian Madden

Brian Madden completed his Masters degree in computer science at UCSC in 2012. His research interests include large scale file system and index design, search, and security. He graduated with a BS in computer science from the University of Pittsburgh in May 2009, and

Publications

Date		Publication
Aug 14, 2013		Ian Adams, Mark W. Storer, Avani Wildani, Ethan L. Miller, Brian Madden, Validating Storage System Instrumentation, Proceedings of the 21st IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2013), August 2013. [Archival Storage] [Tracing and Benchmarking]
Jun 30, 2013		Aleatha Parker-Wood, Brian Madden, Michael McThrow, Darrell D. E. Long, Ian Adams, Avani Wildani, Examining Extended and Scientific Metadata for Scalable Index Designs, Proceedings of the 6th International Systems and Storage Conference (SYSTOR 2013), June 2013. [Scalable File System Indexing] [Dynamic Non-Hierarchical File Systems]
Dec 14, 2012		Aleatha Parker-Wood, Brian Madden, Michael McThrow, Darrell D. E. Long, Examining Extended and Scientific Metadata for Scalable Index Designs, Technical Report UCSC-SSRC-12-07, December 2012. [Scalable File System Indexing] [Dynamic Non-Hierarchical File Systems] [Ultra-Large Scale Storage]
Nov 19, 2012		Ian Adams, Brian Madden, Joel Frank, Mark W. Storer, Ethan L. Miller, Gene Harano, Usage Behavior of a Large-Scale Scientific Archive, Proceedings of the 2012 International Conference for High Performance Computing, Networking, Storage and Analysis (SC12), November 2012. [Archival Storage] [Tracing and Benchmarking]
Mar 2, 2012		Brian Madden, Ian Adams, Joel Frank, Ethan L. Miller, Analyzing User Behavior: A Trace Analysis of the NCAR Archival Storage System, Technical Report UCSC-SSRC-12-02, March 2012. [Archival Storage]
May 24, 2011		Brian Madden, Ian Adams, Mark W. Storer, Ethan L. Miller, Darrell D. E. Long, Thomas Kroeger, Provenance Based Rebuild: Using Data Provenance to Improve Reliability, Technical Report UCSC-SSRC-11-04, May 2011. [Reliable Storage]

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Last modified May 22 2019