• DocumentCode
    451105
  • Title

    High-Speed Distributed Data Handling for On-Line Instrumentation Systems

  • Author

    Johnston, William E. ; Greiman, William ; Hoo, Gary ; Lee, Jason ; Tierney, Brian ; Tull, Craig ; Olson, Douglas

  • Author_Institution
    Lawrence Berkeley National Laboratory
  • fYear
    1997
  • fDate
    15-21 Nov. 1997
  • Firstpage
    55
  • Lastpage
    55
  • Abstract
    The advent (and promise) of shared, widely available, high-speed networks provides the potential for new approaches to the collection, organization, storage, and analysis of high-speed and high-volume data streams from high data-rate, on-line instruments. We have worked in this area for several years, have identified and addressed a variety of problems associated with this scenario, and have evolved an architecture, implementations, and a monitoring methodology that have been successful in addressing several different application areas. We describe a distributed, wide area network-based architecture that deals with data streams that originate from online instruments. Such instruments and imaging systems are a staple of modern scientific, health care, and intelligence environments. Our work provides an approach for reliable, distributed real-time analysis, cataloguing, and archiving of the data streams through the integration and distributed management of a high-speed distributed cache, distributed high performance applications, and tertiary storage systems.
  • Keywords
    Cache storage; Data analysis; Data handling; High energy physics instrumentation computing; Instruments; Laboratories; Medical services; Nuclear physics; Real time systems; Streaming media;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Supercomputing, ACM/IEEE 1997 Conference
  • Print_ISBN
    0-89791-985-8
  • Type

    conf

  • DOI
    10.1109/SC.1997.10025
  • Filename
    1592636