The search functionality is under construction.
The search functionality is under construction.

Author Search Result

[Author] Guangyuan LIU(2hit)

1-2hit
  • Survivable Virtual Network Topology Protection Method Based on Particle Swarm Optimization

    Guangyuan LIU  Daokun CHEN  

     
    LETTER-Information Network

      Pubricized:
    2020/03/04
      Vol:
    E103-D No:6
      Page(s):
    1414-1418

    Survivable virtual network embedding (SVNE) is one of major challenges of network virtualization. In order to improve the utilization rate of the substrate network (SN) resources with virtual network (VN) topology connectivity guarantee under link failure in SN, we first establishes an Integer Linear Programming (ILP) model for that under SN supports path splitting. Then we designs a novel survivable VN topology protection method based on particle swarm optimization (VNE-PSO), which redefines the parameters and related operations of particles with the embedding overhead as the fitness function. Simulation results show that the solution significantly improves the long-term average revenue of the SN, the acceptance rate of VN requests, and reduces the embedding time compared with the existing research results.

  • DVNR: A Distributed Method for Virtual Network Recovery

    Guangyuan LIU  Daokun CHEN  

     
    LETTER-Information Network

      Pubricized:
    2020/08/26
      Vol:
    E103-D No:12
      Page(s):
    2713-2716

    How to restore virtual network against substrate network failure (e.g. link cut) is one of the key challenges of network virtualization. The traditional virtual network recovery (VNR) methods are mostly based on the idea of centralized control. However, if multiple virtual networks fail at the same time, their recovery processes are usually queued according to a specific priority, which may increase the average waiting time of users. In this letter, we study distributed virtual network recovery (DVNR) method to improve the virtual network recovery efficiency. We establish exclusive virtual machine (VM) for each virtual network and process recovery requests of multiple virtual networks in parallel. Simulation results show that the proposed DVNR method can obtain recovery success rate closely to centralized VNR method while yield ~70% less average recovery time.