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Discrete Particle Swarm Optimization Algorithm for Virtual Network Reconfiguration

  • Ying Yuan
  • Cuirong Wang
  • Cong Wang
  • Shiming Zhu
  • Siwei Zhao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7928)

Abstract

Network virtualization allows multiple virtual networks (VNs) to coexist on a shared physical substrate infrastructure. Efficient network resource utilization is crucial for such problem. Most of the current researches focus on algorithms to allocate resources to VNs in mapping. However, reconfiguration problem of running VNs is relatively less explored. Aiming at dynamic scheduling of running VNs, this paper introduces a virtual network reconfiguration model to achieve more substrate network resource utilization. We formulate the virtual network reconfiguration problem as a multi object optimal problem and use discrete particle swarm optimization (DPSO) algorithm to search optimal solution. Experimental results show that by rescheduling the running VNs on substrate network according to the optimal reconfiguration solution our approach can observably reduce the biggest load in both physical node and link load, balance average load and avoid bottlenecks in substrate network so as to gain high VNs accept ratio.

Keywords

network virtualization reconfiguration algorithm load balancing discrete particle swarm optimization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ying Yuan
    • 1
  • Cuirong Wang
    • 2
  • Cong Wang
    • 2
  • Shiming Zhu
    • 2
  • Siwei Zhao
    • 3
  1. 1.School of Information Science and EngineeringNortheastern UniversityShenyangChina
  2. 2.School of Northeastern University at QinhuangdaoQinhuangdaoChina
  3. 3.School of Electronic and Information EngineeringBeijing Jiaotong UniversityBeijingChina

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