SCHEDULE: NOV 10-16, 2012
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Usage Behavior of a Large-Scale Scientific Archive
SESSION: Big Data
EVENT TYPE: Papers
TIME: 2:00PM - 2:30PM
SESSION CHAIR: Dennis Gannon
AUTHOR(S):Ian F. Adams, Brian A. Madden, Joel C. Frank, Mark W. Storer, Ethan L. Miller, Gene Harano
Archival storage systems for scientific data have been growing in both size and relevance over the past two decades, yet researchers and system designers alike must rely on limited and obsolete knowledge to guide archival management and design. To address this issue, we analyzed three years of file-level activities from the NCAR mass storage system, providing valuable insight into a large-scale scientific archive with over 1600 users, tens of millions of files, and petabytes of data. Our examination of system usage showed that, while a subset of users were responsible for most of the activity, this activity was widely distributed at the file level. We also show that the physical grouping of files and directories on media can improve archival storage system performance. Based on our observations, we provide suggestions and guidance for both future scientific archival system designs as well as improved tracing of archival activity.
Dennis Gannon (Chair) - Microsoft Corporation
Ian F. Adams - University of California, Santa Cruz
Brian A. Madden - University of California, Santa Cruz
Joel C. Frank - University of California, Santa Cruz
Mark W. Storer - NetApp
Ethan L. Miller - University of California, Santa Cruz
Gene Harano - National Center for Atmospheric Research