• DocumentCode
    694698
  • Title

    Method of Architecture Core Data Optimization Design Based on DM2

  • Author

    Xiaoxue Zhang ; Aimin Luo ; Xueshan Luo

  • Author_Institution
    Sci. & Technol. on Inf. Syst. Eng. Lab., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2013
  • fDate
    7-8 Dec. 2013
  • Firstpage
    13
  • Lastpage
    19
  • Abstract
    Based on the complexity in military information systems architecture design, we proposed the concepts of architecture optimization design. After analyzed application of logical data meta-model (DM2) in building architecture data and products, we built a framework of architecture optimization design. Combined with the building sequence and designing guidelines of architecture data and products, we proposed architecture core data optimization design process. After analyzing the main contents of taking architecture optimization design, the goals and the guidelines of building mathematical models of architecture core data optimization design are put forward. Finally, we took the optimization design of activity data as an example, built the corresponding mathematical model, and illustrated relative optimization method. Architecture core data optimization design method affords a realizable approach of making architecture design solutions more quantitatively, scientifically, and automatically.
  • Keywords
    military computing; optimisation; DM2; activity data optimization design; architecture core data optimization design method; architecture products; designing guidelines; logical data meta-model; main content analysis; mathematical models; military information system architecture design; relative optimization method; sequence guidelines; Architecture; Computer architecture; Data models; Design methodology; Mathematical model; Object oriented modeling; Optimization; Military information systems; architecture; data meta-model; optimization design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on
  • Conference_Location
    Guangzhou
  • Type

    conf

  • DOI
    10.1109/ISCC-C.2013.84
  • Filename
    6973562