• DocumentCode
    2900377
  • Title

    Cloud computing for Air Traffic Management - Framework analysis

  • Author

    Liling Ren ; Beckmann, Benjamin ; Citriniti, Thomas ; Castillo-Effen, Mauricio

  • Author_Institution
    GE Global Res., Niskayuna, NY, USA
  • fYear
    2013
  • fDate
    5-10 Oct. 2013
  • Abstract
    This paper presents a framework for transitioning Air Traffic Management (ATM) functions to cloud computing, for cost savings, and gains in performance and efficiency. With the established framework, initial analysis was carried out for NAS automation systems. The analysis revealed that it is technically feasible to transition most of the ATM functions to the cloud computing environment, with benefits significant to both the system owner and NAS end users. A study of recent development in the field also revealed that, while challenges exist, with the proper alignment of technical and investment decisions, transitioning of ATM functions to the cloud computing environment can be achieved much faster, and that it is already happening.
  • Keywords
    air traffic; cloud computing; traffic engineering computing; ATM functions; NAS automation systems; National Airspace System; air traffic management; cloud computing; Aircraft; Aircraft navigation; Cloud computing; Computer architecture; Investment; Meteorology; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Avionics Systems Conference (DASC), 2013 IEEE/AIAA 32nd
  • Conference_Location
    East Syracuse, NY
  • ISSN
    2155-7195
  • Print_ISBN
    978-1-4799-1536-1
  • Type

    conf

  • DOI
    10.1109/DASC.2013.6712608
  • Filename
    6712608