• DocumentCode
    672551
  • Title

    Research on multi-data sources data center architecture at UOIT

  • Author

    Xiaoli Meng ; Gabbar, Hossam A.

  • Author_Institution
    Fac. of Energy Syst. & Nucl. Sci., Univ. of Ontario Inst. of Technol., Oshawa, ON, Canada
  • fYear
    2013
  • fDate
    28-30 Aug. 2013
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Smart distribution grid on the system monitoring, interaction, security, power quality requires higher performance data acquisition, storage and utilization. This paper introduces the design of the data center at UOIT based on demands analysis, illustrates the stage objectives and gives the multi-data sources data center architecture and function structure. The introduction of real-time/historical database solves the problem of high intensive data acquisition, storage and quick retrieve. The proposed multi-data sources intensive data management mode can easily build power distribution and utilization infrastructure mass data warehouse with date from devices and heterogeneous data synchronized from existing systems, provide effective and efficient data supporting for advanced applications in control region and transfer real-time data to applications in management region.
  • Keywords
    computer centres; data acquisition; data warehouses; distribution networks; power supply quality; power system security; smart power grids; synchronisation; UOIT; data acquisition; data storage; heterogeneous data synchronization; intensive data management mode; mass data warehouse; multidata source data center architecture; power distribution; power quality; real-time-historical database; smart distribution grid; system monitoring; Buildings; Communication networks; Distributed databases; Monitoring; Real-time systems; Smart grids; data Center; function structure; multi data sources; real-time database; system architecture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Energy Grid Engineering (SEGE), 2013 IEEE International Conference on
  • Conference_Location
    Oshawa, ON
  • Print_ISBN
    978-1-4799-2774-6
  • Type

    conf

  • DOI
    10.1109/SEGE.2013.6707935
  • Filename
    6707935