• DocumentCode
    2322407
  • Title

    U.S. Army Modeling and Simulation Executable Architecture Deployment Cloud Virtualization Strategy

  • Author

    Murphy, Sinead ; Gallant, S. ; Gaughan, Chris ; Diego, M.

  • Author_Institution
    Dynamic Animation Syst., Inc., Orlando, FL, USA
  • fYear
    2012
  • fDate
    13-16 May 2012
  • Firstpage
    880
  • Lastpage
    885
  • Abstract
    Our research has included leveraging Virtualization Technologies to provide integration, configuration and execution relief of Modeling & Simulation (M&S) event planning, instantiation and analysis. We have achieved this through a single service that is used to deploy and execute stand-alone applications as well as separate, but cooperative, applications on a dynamic virtual machine-based cloud. This use of virtualization technology shows significant cost savings in reducing the human effort for integration, test and execution by providing a powerful virtual machine environment that combines new and existing applications and their configurations. Our effort eliminates the time needed to manually configure and execute these applications on physical hardware once they are captured in the system.
  • Keywords
    cloud computing; military computing; software architecture; virtual machines; virtualisation; U.S. Army modeling; U.S. Army simulation; cost savings; dynamic virtual machine-based cloud; executable architecture deployment cloud virtualization strategy; human effort reduction; modeling&simulation analysis; modeling&simulation event planning; modeling&simulation instantiation; time elimination; virtualization technologies; Analytical models; Computational modeling; Computer architecture; Hardware; Software; Cloud Computing; Distributed M&S; Hypervisor; Modeling & Simulation (M&S); Virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on
  • Conference_Location
    Ottawa, ON
  • Print_ISBN
    978-1-4673-1395-7
  • Type

    conf

  • DOI
    10.1109/CCGrid.2012.89
  • Filename
    6217527