• DocumentCode
    2670482
  • Title

    Minimizing Routing Energy Consumption: From Theoretical to Practical Results

  • Author

    Giroire, Frédéric ; Mazauric, Dorian ; Moulierac, Joanna ; Onfroy, Brice

  • Author_Institution
    MASCOTTE, Univ. de Nice-Sophia, Antipolis, France
  • fYear
    2010
  • fDate
    18-20 Dec. 2010
  • Firstpage
    252
  • Lastpage
    259
  • Abstract
    Several studies exhibit that the traffic load of the routers only has a small influence on their energy consumption. Hence, the power consumption in networks is strongly related to the number of active network elements, such as interfaces, line cards, base chassis. The goal thus is to find a routing that minimizes the (weighted) number of active network elements used when routing. In this paper, we consider a simplified architecture where a connection between two routers is represented as a link joining two network interfaces. When a connection is not used, both network interfaces can be turned off. Therefore, in order to reduce power consumption, the goal is to find the routing that minimizes the number of used links while satisfying all the demands. We first define formally the problem and we model it as an integer linear program. Then, we prove that this problem is not in APX, that is there is no polynomial-time constant-factor approximation algorithm. Thus, we propose a heuristic algorithm for this problem and we present a study on specific topologies, such as trees and complete graphs, that provide bounds and results useful for real topologies. We then exhibit the gain in terms of number of network interfaces for a set of existing network topologies: we see that for almost all topologies more than one third of the network interfaces can be spared for usual ranges of operation, leading to a global reduction of approximately 33 MWh for a medium-sized backbone network. Finally, we discuss the impact of energy efficient routing on the stretch factor and on fault tolerance.
  • Keywords
    active networks; approximation theory; computational complexity; fault tolerance; integer programming; linear programming; network interfaces; power aware computing; power consumption; telecommunication network routing; active network element; fault tolerance; heuristic algorithm; integer linear program; medium sized backbone network; network interface; polynomial time constant factor approximation algorithm; power consumption reduction; routing energy consumption minimization; Approximation methods; Energy consumption; Heuristic algorithms; Network interfaces; Network topology; Routing; Topology; algorithms; energy-efficient routing; graphs; integer linear programming; power consumption;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-9779-9
  • Electronic_ISBN
    978-0-7695-4331-4
  • Type

    conf

  • DOI
    10.1109/GreenCom-CPSCom.2010.147
  • Filename
    5724837