2nd International ICST Workshop on Intelligent Networks: Adaptation, Communication & Reconfiguration

Research Article

Adaptive Multilayer Routing in the Next Generation GMPLS Internet

  • @INPROCEEDINGS{10.1109/COMSWA.2008.4554515,
        author={Walter Colitti and Pasquale Gurz\'{\i} and Kris Steenhaut and Ann Now\^{e}},
        title={Adaptive Multilayer Routing in the Next Generation GMPLS Internet},
        proceedings={2nd International ICST Workshop on Intelligent Networks: Adaptation, Communication \&  Reconfiguration},
        publisher={IEEE},
        proceedings_a={IAMCOM},
        year={2008},
        month={6},
        keywords={Intelligent Optical Networks ASON GMPLS MTE adaptive routing grooming},
        doi={10.1109/COMSWA.2008.4554515}
    }
    
  • Walter Colitti
    Pasquale Gurzì
    Kris Steenhaut
    Ann Nowé
    Year: 2008
    Adaptive Multilayer Routing in the Next Generation GMPLS Internet
    IAMCOM
    IEEE
    DOI: 10.1109/COMSWA.2008.4554515
Walter Colitti1,*, Pasquale Gurzì1,*, Kris Steenhaut1,*, Ann Nowé1,*
  • 1: ETRO Dept. and COMO Lab, Vrije Universiteit Brussel Erasmushogeschool Brussel – IWT Brussels, Belgium
*Contact email: wcolitti@etro.vub.ac.be, pgurzi@etro.vub.ac.be, ksteenha@etro.vub.ac.be, asnowe@etro.vub.ac.be

Abstract

The Automatically Switched Optical Networks (ASONs) and the Generalized Multi Protocol Label Switching (GMPLS) control plane are envisaged to play an important role in the next generation Internet. They provide optical networks with intelligence and automation and they enable the Multilayer Traffic Engineering (MTE) paradigm which facilitates the IP/optical adaptive integrated routing. This paper proposes an adaptive strategy for integrated routing. The routing decision is based on the network state. The strategy either sets up a new lightpath or grooms traffic on the existing virtual topology depending on the resource utilization level experienced on the IP and optical layers. To reduce the quantity of control information, we also propose and evaluate a heuristic that overcomes scalability problems at the expenses of less optimal performance. The proposed strategies are evaluated by means of simulation and they are compared with two non adaptive routing policies widely investigated in literature.