• DocumentCode
    183081
  • Title

    A MapReduce based parallel algorithm for CIM data verification

  • Author

    Yang Liu ; Xiaodong Shen ; Lixiong Xu ; Maozhen Li

  • Author_Institution
    Sch. of Electr. Eng. & Inf. Syst., Sichuan Univ., Chengdu, China
  • fYear
    2014
  • fDate
    19-21 Aug. 2014
  • Firstpage
    704
  • Lastpage
    709
  • Abstract
    At present, the power system is building up on top of a series of auxiliary systems for examples communication systems, monitoring systems, marketing systems and so on. All the systems work based on the shared power system data which are defined using Common Information Model (CIM). Due to diversiform reasons, errors may exist in the data. Therefore the verification technologies are developed. So far the researchers mainly focus on the accuracy of the verification. However, along with the volume of data increasing, efficiency has become an issue. This paper proposes a CIM verifying algorithm based on MapReduce in terms of efficiency improvement. The experimental results show that it can enhance the performance of verification.
  • Keywords
    electricity supply industry; formal verification; parallel algorithms; CIM data verification; CIM verifying algorithm; MapReduce based parallel algorithm; auxiliary systems; common information model; communication systems; marketing systems; monitoring systems; shared power system data; verification technologies; Algorithm design and analysis; Clustering algorithms; Computer integrated manufacturing; Data models; Distributed databases; Power systems; XML; CIM; MapReduce; cluster; distributed; verification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4799-5147-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2014.6980921
  • Filename
    6980921