• DocumentCode
    653180
  • Title

    Energy-Efficient Networks with Optimal Traffic Splitting

  • Author

    Leepila, Ruchaneeya ; Oki, Eiji ; Kishi, Naoto

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Univ. of Electro-Commun., Tokyo, Japan
  • fYear
    2013
  • fDate
    20-23 Aug. 2013
  • Firstpage
    324
  • Lastpage
    326
  • Abstract
    This paper proposes a method to minimize the power consumption in networks while providing working paths with optimal splitting traffic and a backup path. Due to a tradeoff between energy-efficiency and survivability of networks, the reduction of power consumption for survivable networks is a required issue. In the proposed method, the problem is formalized as a Linear Programming (LP) formulation. The proportional power, which is traffic-dependent power, is determined as a power model in the formulation. The results show that the working traffic in the network without sleep mode is split with satisfying the minimum proportional power consumption. The traffic splitting reduces the total capacity. It affects to the power consumption in the survivable networks.
  • Keywords
    Internet; energy conservation; linear programming; power consumption; telecommunication traffic; Internet; LP formulation; backup path; energy-efficient network; linear programming formulation; network survivability; optimal traffic splitting; power consumption minimization; power consumption reduction; proportional power; traffic-dependent power; working path; working traffic; Energy consumption; Green products; Indexes; Internet; Linear programming; Power demand; Switches; Energy-efficient networks; Linear programming; multiple paths; traffic splitting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/GreenCom-iThings-CPSCom.2013.73
  • Filename
    6682087