• DocumentCode
    2877757
  • Title

    rtGovOps: A Runtime Framework for Governance in Large-Scale Software-Defined IoT Cloud Systems

  • Author

    Nastic, Stefan ; Vogler, Michael ; Inzinger, Christian ; Hong-Linh Truong ; Dustdar, Schahram

  • Author_Institution
    Distrib. Syst. Group, Vienna Univ. of Technol., Vienna, Austria
  • fYear
    2015
  • fDate
    March 30 2015-April 3 2015
  • Firstpage
    24
  • Lastpage
    33
  • Abstract
    The ongoing convergence of cloud computing and the IoT gives rise to the proliferation of diverse, large-scale IoT and mobile cloud systems. Such novel IoT cloud systems offer numerous advantages for all involved stakeholders. However, due to scale, complexity, and inherent geographical distribution of such systems, governing new IoT cloud resources poses numerous challenges. In this paper we introduce rtGovOps, a novel framework for on-demand runtime operational governance of software-defined IoT cloud systems. To illustrate the feasibility of our framework and its practical applicability to implement and execute operational governance processes in large-scale software-defined IoT cloud system, we evaluate our approach using a real-world case study on managing fleets of electric vehicles.
  • Keywords
    Internet of Things; cloud computing; IoT convergence; cloud computing convergence; electric vehicle fleet management; geographical distribution; large-scale software-defined IoT cloud systems; mobile cloud systems; on-demand runtime operational governance; rtGovOps; Cloud computing; Logic gates; Mobile communication; Protocols; Runtime; Vehicle dynamics; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Cloud Computing, Services, and Engineering (MobileCloud), 2015 3rd IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • Type

    conf

  • DOI
    10.1109/MobileCloud.2015.38
  • Filename
    7130866