• DocumentCode
    2858274
  • Title

    A Benchmark Suite for Unstructured Data Processing

  • Author

    Smullen, C.W. ; Tarapore, IV Shahrukh Rohinton ; Gurumurthi, Sudhanva

  • Author_Institution
    Univ. of Virginia, Charlottesville
  • fYear
    2007
  • fDate
    24-24 Sept. 2007
  • Firstpage
    79
  • Lastpage
    83
  • Abstract
    A large fraction of the data that will stored and accessed in future systems is expected to be unstructured, in the form of images, audio files, etc. Therefore, it is very important to design future I/O subsystems to provide efficient storage, and access to these vast and continuously growing repositories of unstructured data. To facilitate system design and evaluation, we first need benchmarks that capture the processing and I/O access characteristics of applications that operate on unstructured data. In this paper, we present an unstructured data processing benchmark suite that we have developed. We provide detailed descriptions of the workloads in the benchmark suite and discuss the larger space of application characteristics that each of them capture.
  • Keywords
    benchmark testing; information retrieval systems; data access; data storage; unstructured data processing benchmark suite; unstructured data repository; Application software; Biomedical imaging; Computer architecture; Data processing; Digital cameras; Image databases; Image edge detection; Image storage; Market research; Operating systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Storage Network Architecture and Parallel I/Os, 2007. SNAPI.International Workshop on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-0-7695-3097-0
  • Type

    conf

  • DOI
    10.1109/SNAPI.2007.8
  • Filename
    4438051