• DocumentCode
    3746958
  • Title

    Investigating WS-PGRADE workflows for Cloud-based distributed simulation

  • Author

    Nauman R. Chaudhry;Athar Nouman;Anastasia Anagnostou;Simon J.E. Taylor

  • Author_Institution
    Department of Computer Science, Brunel University London, Uxbridge, Middlesex, UB8 3PH, UK
  • fYear
    2015
  • Firstpage
    3180
  • Lastpage
    3181
  • Abstract
    Cloud computing enables access to computing infrastructure as a utility without the associated high cost. The impact of Cloud computing on simulation software is just beginning with some simulation vendors using Cloud “solutions” in a similar manner to Web-based Simulation systems. CloudSME Simulation Platform that supports simulation software to be deployed as service is supported by a cloud platform. Distributed simulation has the simple goal of interoperating models together over a network to either (a) build larger models and/or (b) share the processing of a large model. Distributed simulation uses technology typically based on the IEEE 1516-2010 High Level Architecture. Cloud computing allows for the elastic provision of multiple processing nodes, as specified by the simulation end user, based on factors that include the number of simulation runs required, the time available for experiments, and the costs of processing. In this study, we presents a framework for cloud-based distributed simulation.
  • Keywords
    "Computational modeling","Cloud computing","Ports (Computers)","Computer architecture","Runtime","Data models"
  • Publisher
    ieee
  • Conference_Titel
    Winter Simulation Conference (WSC), 2015
  • Electronic_ISBN
    1558-4305
  • Type

    conf

  • DOI
    10.1109/WSC.2015.7408459
  • Filename
    7408459