• DocumentCode
    2760561
  • Title

    Workflow Resiliency for Large-Scale Distributed Applications

  • Author

    Nguyen, Thin ; Desideri, J.-A. ; Selmin, Vittorio

  • Author_Institution
    Centre de Rech. Grenoble Rhone-Alpes, INRIA, St. Ismier, France
  • fYear
    2009
  • fDate
    11-16 Oct. 2009
  • Firstpage
    7
  • Lastpage
    12
  • Abstract
    Large-scale simulation and optimization are demanding applications that require high-performance computing platforms. Because their economic impact is fundamental to the industry, they also require robust, seamless and effective mechanisms to support dynamic user interactions, as well as fault-tolerance and resiliency on parallel computing platforms. Distributed workflows are considered here as a means to support large-scale dynamic and resilient multiphysics simulation and optimization applications, such as multiphysics aircraft simulation.
  • Keywords
    aerospace simulation; economics; fault tolerance; optimisation; parallel processing; workflow management software; aircraft simulation; distributed workflows; economic impact; fault-tolerance; large-scale distributed applications; large-scale simulation; optimization; parallel computing; workflow resiliency; Aerodynamics; Computational modeling; Computer applications; Computer industry; Design optimization; Distributed computing; Large-scale systems; Resumes; Robustness; Synchronization; distributed computing; large-scale applications; parallel computing; resiliency; workflows;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Engineering Computing and Applications in Sciences, 2009. ADVCOMP '09. Third International Conference on
  • Conference_Location
    Sliema
  • Print_ISBN
    978-1-4244-5082-4
  • Electronic_ISBN
    978-0-7695-3829-7
  • Type

    conf

  • DOI
    10.1109/ADVCOMP.2009.9
  • Filename
    5359662