• DocumentCode
    3746875
  • Title

    Business models for cloud computing: experiences from developing Modeling & Simulation as a Service applications in industry

  • Author

    Tamas Kiss;Huseyin Dagdeviren;Simon J. E. Taylor;Anastasia Anagnostou;Nicola Fantini

  • Author_Institution
    Centre for Parallel Computing, University of Westminster, 115 New Cavendish Street, London, W1W 6UW, UNITED KINGDOM
  • fYear
    2015
  • Firstpage
    2656
  • Lastpage
    2667
  • Abstract
    The potential of cloud computing is gaining significant interest in Modeling & Simulation (M&S). The underlying concept of using computing power as a utility is very attractive to users that can access state-of- the-art hardware and software without capital investment. Moreover, the cloud computing characteristics of rapid elasticity and the ability to scale up or down according to workload make it very attractive to numerous applications including M&S. Research and development work typically focuses on the implementation of cloud-based systems supporting M&S as a Service (MSaaS). Such systems are typically composed of a supply chain of technology services. How is the payment collected from the enduser and distributed to the stakeholders in the supply chain? We discuss the business aspects of developing a cloud platform for various M&S applications. Business models from the perspectives of the stakeholders involved in providing and using MSaaS and cloud computing are investigated and presented.
  • Keywords
    "Computational modeling","Joining processes"
  • Publisher
    ieee
  • Conference_Titel
    Winter Simulation Conference (WSC), 2015
  • Electronic_ISBN
    1558-4305
  • Type

    conf

  • DOI
    10.1109/WSC.2015.7408373
  • Filename
    7408373