• DocumentCode
    679637
  • Title

    Single-Snapshot File System Analysis

  • Author

    Wildani, A. ; Adams, Ian F. ; Miller, Eric L.

  • Author_Institution
    Storage Syst. Res. Center, Univ. of California, Santa Cruz, Santa Cruz, CA, USA
  • fYear
    2013
  • fDate
    14-16 Aug. 2013
  • Firstpage
    338
  • Lastpage
    341
  • Abstract
    Metadata snapshots are a common method for gaining insight into file systems due to their small size and relative ease of acquisition. Since they are static, most researchers have used them for relatively simple analyses such as file size distributions and age of files. We hypothesize that it is possible to gain much richer insights into file system and user behavior by clustering features in metadata snapshots and comparing the entropy within clusters to the entropy within natural partitions such as directory hierarchies. We discuss several different methods for gaining deeper insights into metadata snapshots, and show a small proof of concept using data from Los Alamos National Laboratories. In our initial work, we see evidence that it is possible to identify user locality information, traditionally the purview of dynamic traces, using a single static snapshot.
  • Keywords
    file organisation; human factors; meta data; pattern clustering; Los Alamos National Laboratories; directory hierarchies; feature clustering; file age; file size distributions; metadata snapshots; single-snapshot file system analysis; user behavior; Analytical models; Clustering algorithms; Computational modeling; Correlation; Educational institutions; Entropy; Market research; data mining; storage; workload analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Analysis & Simulation of Computer and Telecommunication Systems (MASCOTS), 2013 IEEE 21st International Symposium on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1526-7539
  • Type

    conf

  • DOI
    10.1109/MASCOTS.2013.47
  • Filename
    6730782