• DocumentCode
    611053
  • Title

    Experiences Applying Data Staging Technology in Unconventional Ways

  • Author

    Lofstead, Jay ; Oldfield, R. ; Kordenbrock, T.

  • fYear
    2013
  • fDate
    13-16 May 2013
  • Firstpage
    294
  • Lastpage
    301
  • Abstract
    Several efforts have shown the potential of using additional compute-area resources to enhance the IO path to storage. Efforts like data staging, IO forwarding, and similar techniques can accelerate IO performance and reduce the impact of IO time to a compute application. Hybrid staging enhanced this path by adding processing functionality to locations along the data path to storage. While these efforts have been effective, they have taken a somewhat limited view of the potential benefits using some additional compute resources can offer both to enhance a compute application as well as to offering a way to exploit HPC-style resources for non-traditional tasks. Over the last few years, we have been experimenting with the potential for other sorts of activities using a staging style approach to add or enable new functionality. The efforts in this area have yielded a collection of small projects that yield some insights into both the potential and limitations of this approach for both achieving exascale computing and for enabling alternative uses for HPC resources.
  • Keywords
    data handling; parallel processing; storage management; HPC-style resource; IO forwarding; IO path; IO performance acceleration; IO time; compute application; compute resource; compute-area resource; data staging technology; data storage; exascale computing; staging style approach; Acceleration; Hardware; Home appliances; Informatics; Joining processes; Servers; Storms; LSMA; data staging; document clustering; streaming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2013 13th IEEE/ACM International Symposium on
  • Conference_Location
    Delft
  • Print_ISBN
    978-1-4673-6465-2
  • Type

    conf

  • DOI
    10.1109/CCGrid.2013.27
  • Filename
    6546105