• DocumentCode
    1754360
  • Title

    Power-aware logical topology design heuristics in Wavelength-Routing networks

  • Author

    Ahmad, A. ; Bianco, A. ; Bonetto, E. ; Cuda, D. ; Castillo, G. Gavilanes ; Neri, F.

  • Author_Institution
    Dipt. di Elettron., Politec. di Torino, Turin, Italy
  • fYear
    2011
  • fDate
    8-10 Feb. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Wavelength-Routing (WR) networks are the most common solution for core networks. With the access segment moving from copper to Passive Optical Networks (PON), core networks will become one of the major culprits of Internet power consumption. However, WR networks offer some design flexibility which can be exploited to mitigate their energy requirements. One of the main steps which has to be faced in designing WR networks is the planning of the Logical Topology (LT) starting from the matrix of traffic requests. In this paper, we propose a Mixed Integer Linear Programming (MILP) formulation to find power-wise optimal LTs. In addition, due to the complexity of the MILP approach we propose a greedy heuristic and a genetic algorithm (GA) ensuring performance close to the one achieved by the MILP formulation.
  • Keywords
    Internet; genetic algorithms; greedy algorithms; integer programming; linear programming; passive optical networks; telecommunication network topology; wavelength division multiplexing; Internet power consumption; MILP formulation; PON; core networks; genetic algorithm; greedy heuristic; mixed integer linear programming formulation; passive optical networks; power-aware logical topology design heuristics; power-wise optimal LT; wavelength-routing networks; Gallium; Network topology; Optical switches; Optical transmitters; Power demand; Routing; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optical Network Design and Modeling (ONDM), 2011 15th International Conference on
  • Conference_Location
    Bologna
  • Print_ISBN
    978-1-4244-9596-2
  • Electronic_ISBN
    978-3-901882-42-5
  • Type

    conf

  • Filename
    5753405