• DocumentCode
    2246268
  • Title

    The comparison and analysis of tree data model and table-like data model based on NETCONF

  • Author

    Gao, Yanxiang ; Zhang, Bin ; Li, Guohui ; Yan Li ; Gao, Xuesong

  • Author_Institution
    Pattern Recognition & Intell. Syst. Lab., Beijing Univ. of Posts & Telecommun., Beijing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    75
  • Lastpage
    78
  • Abstract
    NETCONF is a new standard network configuration protocol. For further research we have developed an open experimental platform for NETCONF protocol, BUPT-NEP (BUPT NETCONF Experimental Platform). Moreover, based on the experimental platform some significant technologies, such as data filtering, data storage and so on, are considered. This paper gives a detailed introduction of the tree data model and the table-like data model, which both could be used to organize and store the network facilities´ information, and highlights the comparison of them in two aspects of the space occupancy as well as the filtering performance. From the comparison results it comes to a conclusion that the table-like data model could keep more information; however, the tree data model is easy to understand and shows better filtering performance.
  • Keywords
    data handling; information filtering; tree data structures; BUPT NETCONF experimental platform; BUPT- NEP; NETCONF protocol; data filtering; data storage; filtering performance; network facilities information organization; standard network configuration protocol; table like data model; tree data model; Automatic control; Data analysis; Data models; Informatics; Information filtering; Information filters; Intelligent robots; Protocols; Robotics and automation; Routing; NETCONF; information filtering; table-like data model; tree data model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
  • Conference_Location
    Wuhan
  • ISSN
    1948-3414
  • Print_ISBN
    978-1-4244-5192-0
  • Electronic_ISBN
    1948-3414
  • Type

    conf

  • DOI
    10.1109/CAR.2010.5456624
  • Filename
    5456624