• DocumentCode
    3594522
  • Title

    Survivable virtual network solution based on multi-embedding algorithm

  • Author

    Benfei Hu ; Dong Zhang

  • Author_Institution
    Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
  • fYear
    2014
  • Firstpage
    425
  • Lastpage
    430
  • Abstract
    Network virtualization is considered as the trend of the future Internet and the solution to the growing ossification of Internet nowadays, because it is more flexible and manageable by allowing multiple heterogeneous virtual networks to coexist on a shared infrastructure. The survivability of virtual network is meaningful. In this paper, we propose a solution of survivable virtual network embedding during substrate network´s runtime on the assumption that the elements of substrate network are no longer with infinite life. Thus we put forward a virtual network embedding algorithm based multi-embedding policy and a hybrid link self-healing policy based on combination of pre-allocation backup and reconfiguration. We also propose a service quality function to measure the quality of service of SN. The simulation experiments show that our proposed policy and algorithms make a better business profit and improve the service quality of the infrastructure.
  • Keywords
    Internet; computer network management; computer network reliability; embedded systems; quality of service; virtualisation; Internet; SN quality of service; hybrid link self-healing policy; multiembedding algorithm; multiple heterogeneous virtual networks; network virtualization; pre-allocation backup; service quality function; shared infrastructure; substrate network runtime; survivable virtual network solution; virtual network embedding algorithm based multiembedding policy; Backup; Hybrid-Policy; Network Virtualization; Reconfiguration; Survivability;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing (WiCOM 2014), 10th International Conference on
  • Print_ISBN
    978-1-84919-845-5
  • Type

    conf

  • DOI
    10.1049/ic.2014.0139
  • Filename
    7129667