• DocumentCode
    175250
  • Title

    Big Data for Cyber Physical Systems: An Analysis of Challenges, Solutions and Opportunities

  • Author

    Jara, Antonio J. ; Genoud, Dominique ; Bocchi, Yann

  • Author_Institution
    Inst. of Bus. Inf. Syst., Univ. of Appl. Sci. Western Switzerland (HES-SO), Sierre, Switzerland
  • fYear
    2014
  • fDate
    2-4 July 2014
  • Firstpage
    376
  • Lastpage
    380
  • Abstract
    Cyber-Physical Systems (CPS) covers from M2M and Internet of Things (IoT) communications, heterogeneous data integration from multiple sources, security / privacy and its integration into the cloud computing and Big Data platforms. The integration of Big Data into CPS solutions presents several challenges and opportunities. Big Data for CPS is not suitable with conventional solutions based on offline or batch processing. The interconnection with the real-world, in industrial and critical environments, requires reaction in real-time. Therefore, real-time will be a vertical requirement from communication to Big Data analytics. Big Data for CPS requires on the one hand, real-time streams processing for real-time control, and on the other hand, batch processing for modeling and behaviors learning. This paper describes the existing solutions and the pending challenges, providing some guidelines to address the challenges.
  • Keywords
    Big Data; Internet of Things; cloud computing; data analysis; data integration; data privacy; security of data; Big Data analytics; CPS; Internet of Things; IoT; M2M; cloud computing; cyber physical systems; data integration; data privacy; data security; machine-to-machine communication; Availability; Big data; Data mining; Real-time systems; Security; Sensors; Wireless sensor networks; Big Data.; Cloud Computing; Cyber Physical Systems; Heterogenous Data Integration; Internet of Things;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2014 Eighth International Conference on
  • Conference_Location
    Birmingham
  • Print_ISBN
    978-1-4799-4333-3
  • Type

    conf

  • DOI
    10.1109/IMIS.2014.139
  • Filename
    6975492