Industry Track to The First International Conference on Simulation Tools and Techniques for Communications, Networks and Systems

Research Article

WDM networks planning under multi-hour traffic demand with the MatPlanWDM tool

  • @INPROCEEDINGS{10.4108/ICST.SIMUTOOLS2008.3112,
        author={Pablo Pavon Mari\`{o}o and Ramon Aparicio Pardo and Belen Garcia Manrubia and Joan Garcia Haro},
        title={WDM networks planning under multi-hour traffic demand with the MatPlanWDM tool},
        proceedings={Industry Track to The First International Conference on Simulation Tools and Techniques for Communications, Networks and Systems},
        publisher={ACM},
        proceedings_a={SIMULATIONWORKS},
        year={2010},
        month={5},
        keywords={Simulation tool multi-hour network planning WDM networks},
        doi={10.4108/ICST.SIMUTOOLS2008.3112}
    }
    
  • Pablo Pavon Mariño
    Ramon Aparicio Pardo
    Belen Garcia Manrubia
    Joan Garcia Haro
    Year: 2010
    WDM networks planning under multi-hour traffic demand with the MatPlanWDM tool
    SIMULATIONWORKS
    ICST
    DOI: 10.4108/ICST.SIMUTOOLS2008.3112
Pablo Pavon Mariño1,*, Ramon Aparicio Pardo2,*, Belen Garcia Manrubia2,*, Joan Garcia Haro3,*
  • 1: Universidad Politécnica de Cartagena Plaza del Hospital 1 30202, Cartagena (Spain +34 968325952
  • 2: Universidad Politécnica de Cartagena Plaza del Hospital 1 30202, Cartagena (Spain) +34 968338871
  • 3: Universidad Politécnica de Cartagena Plaza del Hospital 1 30202, Cartagena (Spain)+34 968325314
*Contact email: pablo.pavon@upct.es, rap@alu.upct.es, mbgm@alu.upct.es, joang.haro@upct.es

Abstract

MatPlanWDM is a MATLAB-based publicly available network planning tool for Wavelength-Routing (WR) optical networks, and it was fully developed by our research group. This paper describes the multi-hour planning analysis extension included into the MatPlanWDM version 3. This novel functionality allows the user to test planning algorithms which react under changes in the traffic demands. Multi-hour traffic patterns appear typically in backbone WR networks that span over large geographical areas, where network nodes are situated in different time zones. A case study example is included to illustrate the merits of the tool.