• DocumentCode
    3337765
  • Title

    MB++: An Integrated Architecture for Pervasive Computing and High-Performance Computing

  • Author

    Lillethun, David J. ; Hilley, David ; Horrigan, Seth ; Ramachandran, Umakishore

  • fYear
    2007
  • fDate
    21-24 Aug. 2007
  • Firstpage
    241
  • Lastpage
    248
  • Abstract
    MB++ is a system that caters to the dynamic needs of applications in a distributed, pervasive computing environment that has a wide variety of devices that act as producers and consumers of stream data. The architecture encompasses several elements: The type server allows clients to dynamically inject transformation code that operates on data streams. The transformation engine executes dataflow graphs of transformations on high-performance computing resources. The stream server manages all data streams in the system and dispatches new dataflow graphs to the transformation engine. We have implemented the architecture and show performance results that demonstrate that our implementation scales well with increasing workload, commensurate with the available HPC resources. Further, we show that our implementation can exploit opportunities for parallelism in dataflow graphs, as well as efficiently sharing common subgraphs between dataflow graphs.
  • Keywords
    data flow graphs; ubiquitous computing; MB++ system; data stream management; dataflow graphs; distributed computing; dynamic needs; high-performance computing resources; integrated architecture; pervasive computing; stream data; stream server; transformation code injection; transformation engine; Application software; Computer applications; Computer architecture; Data analysis; Embedded computing; Engines; Feature extraction; Pervasive computing; Processor scheduling; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded and Real-Time Computing Systems and Applications, 2007. RTCSA 2007. 13th IEEE International Conference on
  • Conference_Location
    Daegu
  • ISSN
    1533-2306
  • Print_ISBN
    978-0-7695-2975-2
  • Type

    conf

  • DOI
    10.1109/RTCSA.2007.47
  • Filename
    4296858