• DocumentCode
    2571288
  • Title

    Assistant Decision System for optimization of private communication network

  • Author

    Liu, Fabiao ; Huang, Wei ; Wang, Peiguo ; Zhang, Lin

  • Author_Institution
    Sch. of Commun. & Inf. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2012
  • fDate
    19-21 Oct. 2012
  • Firstpage
    490
  • Lastpage
    494
  • Abstract
    Assistant Decision System for Optimization of Private Communication Network is a software tool used to optimize the private network and provide decision-making advice for the network maintenance technicians and network managers. The software tool can provide scientific decision basis for the optimization (or planning), construction, operation administration and maintenance (OAM) of the private network by simulating the pre-arranged planning based on the built network models, and quantitatively analyzing its advantages and disadvantages. In this paper, we mainly introduce the architecture and functions of the system, and give a detailed description of the algorithms which are designed for the new traffic assignment and protection and network survivability analysis. And the realization steps of the whole system will be presented in the last part of the paper.
  • Keywords
    maintenance engineering; optimisation; telecommunication network management; assistant decision system; decision making; network maintenance technician; network managers; network survivability analysis; operation administration; optimization; private communication network; scientific decision basis; software tool; traffic assignment; Algorithm design and analysis; Analytical models; Data models; Databases; Optimization; Routing; User interfaces; Private network; assistant decision; load analysis; network optimization; routing protection; survivability analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Problem-Solving (ICCP), 2012 International Conference on
  • Conference_Location
    Leshan
  • Print_ISBN
    978-1-4673-1696-5
  • Electronic_ISBN
    978-1-4673-1695-8
  • Type

    conf

  • DOI
    10.1109/ICCPS.2012.6384253
  • Filename
    6384253