• DocumentCode
    2247470
  • Title

    Dynamic clustering scheme based the coordination of management and control in multi-layer and multi-region intelligent optical network

  • Author

    Niu, Xiaoliang ; Yuan, Fen ; Huang, Shanguo ; Guo, Bingli ; Gu, Wanyi

  • Author_Institution
    State Key Lab. of Inf. Photonics & Opt. Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2011
  • fDate
    13-16 Nov. 2011
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    A Dynamic clustering scheme based on coordination of management and control is proposed to reduce network congestion rate and improve the blocking performance of hierarchical routing in Multi-layer and Multi-region intelligent optical network. Its implement relies on mobile agent (MA) technology, which has the advantages of efficiency, flexibility, functional and scalability. The paper´s major contribution is to adjust dynamically domain when the performance of working network isn´t in ideal status. And the incorporation of centralized NMS and distributed MA control technology migrate computing process to control plane node which releases the burden of NMS and improves process efficiently. Experiments are conducted on Multi-layer and multi-region Simulation Platform for Optical Network (MSPON) to assess the performance of the scheme.
  • Keywords
    optical communication; telecommunication congestion control; telecommunication network routing; blocking performance; dynamic clustering scheme; hierarchical routing; management coordination; multilayer intelligent optical network; multiregion intelligent optical network; multiregion simulation platform for optical network; network congestion rate; plane node; Abstracts; Artificial neural networks; Laboratories; Logic gates; Clustering; Coordination of management and control; Mobile agent; Multi-layer and Multi-region; Traffic balancing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Photonics Conference and Exhibition, 2011. ACP. Asia
  • Conference_Location
    Shanghai
  • ISSN
    2162-108X
  • Print_ISBN
    978-0-8194-8961-6
  • Type

    conf

  • DOI
    10.1117/12.904397
  • Filename
    6210838