• DocumentCode
    3532777
  • Title

    Reducing power consumption in embedding virtual infrastructures

  • Author

    Bin Wang ; Xiaolin Chang ; Jiqiang Liu ; Muppala, Jogesh K.

  • Author_Institution
    Sch. of Comput. & Inf. Technol., Beijing Jiaotong Univ., Beijing, China
  • fYear
    2012
  • fDate
    3-7 Dec. 2012
  • Firstpage
    714
  • Lastpage
    718
  • Abstract
    Network virtualization is considered to be not only an enabler to overcome the inflexibility of the current Internet infrastructure but also an enabler to achieve an energy-efficient Future Internet. Virtual network embedding (VNE) is a critical issue in network virtualization technology. This paper explores a joint power-aware node and link resource allocation approach to handle the VNE problem with the objective of minimizing energy consumption. We first present a generalized power consumption model of embedding a VN. Then we formulate the problem as a mixed integer program and propose embedding algorithms. Simulation results demonstrate that the proposed algorithms perform better than the existing algorithms in terms of the power consumption in the overprovisioned scenarios.
  • Keywords
    Internet; integer programming; power aware computing; resource allocation; virtualisation; VNE problem; energy consumption; energy-efficient Future Internet architecture; generalized power consumption model; joint power-aware node; link resource allocation approach; mixed integer programming; network virtualization technology; power consumption reduction; virtual infrastructures; virtual network embedding algorithms; Bandwidth; Energy consumption; Internet; Mathematical model; Power demand; Simulation; Substrates; Energy consumption; Network virtualization; Optimization; Resource allocation; Virtual network embedding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Globecom Workshops (GC Wkshps), 2012 IEEE
  • Conference_Location
    Anaheim, CA
  • Print_ISBN
    978-1-4673-4942-0
  • Electronic_ISBN
    978-1-4673-4940-6
  • Type

    conf

  • DOI
    10.1109/GLOCOMW.2012.6477662
  • Filename
    6477662