• DocumentCode
    230521
  • Title

    Optimal standby virtual routers selection for node failures in a virtual network environment

  • Author

    Xuan Liu ; Medhi, Deep

  • Author_Institution
    Networking Res. Lab., Univ. of Missouri-Kansas City, Kansas City, MO, USA
  • fYear
    2014
  • fDate
    17-21 Nov. 2014
  • Firstpage
    28
  • Lastpage
    36
  • Abstract
    Network virtualization allows flexibility to configure virtual networks in a dynamic manner. In such a setting, to provide resilient services to virtual networks, we consider the situation where the substrate network provider wants to have standby virtual routers ready to serve the virtual networks in the event of a failure. Such a failure can affect one or more virtual routers in multiple virtual networks. The goal of our work is to make the optimal selection of standby virtual routers so that virtual networks can be dynamically reconfigured back to their original topologies after a failure. We present an optimization formulation and a heuristic for this problem. By considering a number of factors, we present numerical studies to show how the optimal selection is affected. The results show that the proposed heuristic´s performance was close to the optimization model when there were sufficient standby virtual routers for each virtual network and the substrate nodes have the capability to support multiple standby virtual routers to be in service, concurrently.
  • Keywords
    computer networks; optimisation; virtualisation; multiple standby virtual routers; network virtualization; node failures; optimal selection; optimal standby virtual routers selection; optimization formulation; optimization model; resilient services; substrate network provider; substrate nodes; virtual network environment; Bandwidth; Heuristic algorithms; IP networks; Network topology; Optimization; Substrates; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network and Service Management (CNSM), 2014 10th International Conference on
  • Conference_Location
    Rio de Janeiro
  • Type

    conf

  • DOI
    10.1109/CNSM.2014.7014138
  • Filename
    7014138