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Mass Storage Systems and Technologies, IEEE / NASA Goddard Conference on (2011)
Denver, CO USA
May 23, 2011 to May 27, 2011
ISBN: 978-1-4577-0427-7
pp: 1-14
Robert Ross , Mathematics and Computer Science Division, Argonne National Laboratory, IL 60439, USA
Robert Latham , Mathematics and Computer Science Division, Argonne National Laboratory, IL 60439, USA
William Allcock , Argonne Leadership Computing Facility, Argonne National Laboratory, IL 60439, USA
Kevin Harms , Argonne Leadership Computing Facility, Argonne National Laboratory, IL 60439, USA
Samuel Lang , Mathematics and Computer Science Division, Argonne National Laboratory, IL 60439, USA
Charles Bacon , Argonne Leadership Computing Facility, Argonne National Laboratory, IL 60439, USA
Philip Carns , Mathematics and Computer Science Division, Argonne National Laboratory, IL 60439, USA
ABSTRACT
Computational science applications are driving a demand for increasingly powerful storage systems. While many techniques are available for capturing the I/O behavior of individual application trial runs and specific components of the storage system, continuous characterization of a production system remains a daunting challenge for systems with hundreds of thousands of compute cores and multiple petabytes of storage. As a result, these storage systems are often designed without a clear understanding of the diverse computational science workloads they will support.
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CITATION
Robert Ross, Robert Latham, William Allcock, Kevin Harms, Samuel Lang, Charles Bacon, Philip Carns, "Understanding and improving computational science storage access through continuous characterization", Mass Storage Systems and Technologies, IEEE / NASA Goddard Conference on, vol. 00, no. , pp. 1-14, 2011, doi:10.1109/MSST.2011.5937212
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