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2011 IEEE 27th Symposium on Mass Storage Systems and Technologies
Understanding and improving computational science storage access through continuous characterization
Denver, CO USA
May 23-May 27
ISBN: 978-1-4577-0427-7
Philip Carns, Mathematics and Computer Science Division, Argonne National Laboratory, IL 60439, USA
Kevin Harms, Argonne Leadership Computing Facility, Argonne National Laboratory, IL 60439, USA
William Allcock, Argonne Leadership Computing Facility, Argonne National Laboratory, IL 60439, USA
Charles Bacon, Argonne Leadership Computing Facility, Argonne National Laboratory, IL 60439, USA
Samuel Lang, Mathematics and Computer Science Division, Argonne National Laboratory, IL 60439, USA
Robert Latham, Mathematics and Computer Science Division, Argonne National Laboratory, IL 60439, USA
Robert Ross, Mathematics and Computer Science Division, Argonne National Laboratory, IL 60439, USA
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.
Citation:
Philip Carns, Kevin Harms, William Allcock, Charles Bacon, Samuel Lang, Robert Latham, Robert Ross, "Understanding and improving computational science storage access through continuous characterization," msst, pp.1-14, 2011 IEEE 27th Symposium on Mass Storage Systems and Technologies, 2011
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