• DocumentCode
    168785
  • Title

    Data Vitalization´s Perspective Towards Smart City: A Reference Model for Data Service Oriented Architecture

  • Author

    Zhang Xiong ; Yanwei Zheng ; Chao Li

  • Author_Institution
    State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    26-29 May 2014
  • Firstpage
    865
  • Lastpage
    874
  • Abstract
    The data are complexity and heterogeneous in the city-scale. When the tasks are nonlinear, existing systems cannot perform well. This paper proposes a data service oriented architecture that is based on the data vitalization theory. In this perspective, the vitalized cells are the basic units of a system, which are organized through nested and/or layer structure. A smart service platform bases on crowd intelligence network is developed according the theory of data vitalization. It allows the developers upload their own services and data to open for other developers. Then the architecture and implement technologies of the platform are introduced. At last, an application example of this architecture is given, which is used to sense social hot-spots in a period and rebuild the scene of the hot-spots. The platform and example show that the data vitalization theory achieves high scalability and flexibility for both linear and non-linear tasks.
  • Keywords
    data handling; service-oriented architecture; town and country planning; crowd intelligence network; data service oriented architecture; data vitalization perspective; data vitalization theory; smart city; smart service platform; vitalized cells; Cloud computing; Computer architecture; Educational institutions; Scalability; Service-oriented architecture; Smart phones; data service oriented architecture; data vitalization; vitalized cell;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster, Cloud and Grid Computing (CCGrid), 2014 14th IEEE/ACM International Symposium on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/CCGrid.2014.74
  • Filename
    6846540