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10.1109/SC.2012.110guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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Usage behavior of a large-scale scientific archive

Published: 10 November 2012 Publication History

Abstract

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 filelevel 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.

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  • (2022)Analysis and Workload Characterization of the CERN EOS Storage SystemACM SIGOPS Operating Systems Review10.1145/3544497.354450756:1(55-61)Online publication date: 14-Jun-2022
  • (2022)Analysis and workload characterization of the CERN EOS storage systemProceedings of the Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems10.1145/3503646.3524293(1-7)Online publication date: 5-Apr-2022

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Published In

cover image Guide Proceedings
SC '12: Proceedings of the 2012 International Conference for High Performance Computing, Networking, Storage and Analysis
November 2012
1139 pages
ISBN:9781467308069

Publisher

IEEE Computer Society

United States

Publication History

Published: 10 November 2012

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Cited By

View all
  • (2022)Analysis and Workload Characterization of the CERN EOS Storage SystemACM SIGOPS Operating Systems Review10.1145/3544497.354450756:1(55-61)Online publication date: 14-Jun-2022
  • (2022)Analysis and workload characterization of the CERN EOS storage systemProceedings of the Workshop on Challenges and Opportunities of Efficient and Performant Storage Systems10.1145/3503646.3524293(1-7)Online publication date: 5-Apr-2022

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