• DocumentCode
    184247
  • Title

    PhysiCloud: A cloud-computing framework for programming cyber-physical systems

  • Author

    Glotfelter, P. ; Eichelberger, T. ; Martin, P.J.

  • Author_Institution
    Electr. & Comput. Eng. Program, York Coll. of Pennsylvania, York, PA, USA
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    1533
  • Lastpage
    1538
  • Abstract
    This paper presents a cloud-computing inspired framework that facilitates the programming of a deployed cyber-physical system. This framework, PhysiCloud, uses a novel combination of abstractions that hide the implementation details of the underlying cyber-physical system. Additionally, the framework is designed to operate on low-power, mobile systems with resiliency to network failures. Using this system, a controls application developer can focus on their algorithm development and its information dependencies, rather than issues of low level scheduling and communication.
  • Keywords
    cloud computing; mobile computing; PhysiCloud; cloud-computing inspired framework; controls application developer; deployed cyber-physical system programming; information dependencies; low-power mobile systems; network failures; Computational modeling; Global Positioning System; Kernel; Mobile communication; Monitoring; Robots; Sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications (CCA), 2014 IEEE Conference on
  • Conference_Location
    Juan Les Antibes
  • Type

    conf

  • DOI
    10.1109/CCA.2014.6981542
  • Filename
    6981542