• DocumentCode
    618594
  • Title

    Optimizing a hybrid SSD/HDD HPC storage system based on file size distributions

  • Author

    Welch, Benjamin ; Noer, Geoffrey

  • Author_Institution
    Panasas, Inc., Sunnyvale, CA, USA
  • fYear
    2013
  • fDate
    6-10 May 2013
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    We studied file size distributions from 65 customer installations and a total of nearly 600 million files. We found that between 25% and 90% of all files are 64 Kbytes or less in size, yet these files account for less than 3% of the capacity in most cases. In extreme cases 5% to 15% of capacity is occupied by small files. We used this information to size the ratio of SSD to HDD capacity on our latest HPC storage system. Our goal is to automatically allocate all of the block-level and file-level metadata, and all of the small files onto SSD, and use the much cheaper HDD storage for large file extents. The unique storage blade architecture of the Panasas system that couples SSD, HDD, processor, memory, and networking into a scalable building block makes this approach very effective. Response time measured by metadata intensive benchmarks is several times better in our systems that couple SSD and HDD. The paper describes the measurement methodology, the results from our customer survey, and the performance benefits of our approach.
  • Keywords
    disc drives; hard discs; Panasas system; block-level metadata; customer survey; file size distributions; file-level metadata; hybrid SSD-HDD HPC storage system; measurement methodology; metadata intensive benchmarks; response time; unique storage blade architecture; Blades; Companies; Data models; Data processing; File systems; Histograms; Resource management; HPC; OSD; SSD; file systems; parallel file system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mass Storage Systems and Technologies (MSST), 2013 IEEE 29th Symposium on
  • Conference_Location
    Long Beach, CA
  • ISSN
    2160-195X
  • Print_ISBN
    978-1-4799-0217-0
  • Type

    conf

  • DOI
    10.1109/MSST.2013.6558449
  • Filename
    6558449