6th International ICST Conference on Broadband Communications, Networks, and Systems

Research Article

Adaptive Routing and Contention Resolution Approaches for OBS Networks with QoS differentiation

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  • @INPROCEEDINGS{10.4108/ICST.BROADNETS2009.7233,
        author={Abdeltouab Belbekkouche and Abdelhakim Hafid and Michel Gendreau},
        title={Adaptive Routing and Contention Resolution Approaches for OBS Networks with QoS differentiation},
        proceedings={6th International ICST Conference on Broadband Communications, Networks, and Systems},
        publisher={IEEE},
        proceedings_a={BROADNETS},
        year={2009},
        month={11},
        keywords={Multi-path routing Deflection Routing Optical Burst Switching Unsupervised learning Wavelength Division Multiplexing QoS differentiation},
        doi={10.4108/ICST.BROADNETS2009.7233}
    }
    
  • Abdeltouab Belbekkouche
    Abdelhakim Hafid
    Michel Gendreau
    Year: 2009
    Adaptive Routing and Contention Resolution Approaches for OBS Networks with QoS differentiation
    BROADNETS
    IEEE
    DOI: 10.4108/ICST.BROADNETS2009.7233
Abdeltouab Belbekkouche1,*, Abdelhakim Hafid1,*, Michel Gendreau2,*
  • 1: Network Research Laboratory, University of Montreal, Montreal, Canada
  • 2: CIRRELT, University of Montreal, Montreal, Canada
*Contact email: belbekka@iro.umontreal.ca, ahafid@ro.umontreal.ca, michel.gendreau@cirrelt.ca

Abstract

Optical Burst Switching (OBS) is a promising switching paradigm for the next generation Internet. A bufferless OBS network can be implemented simply and cost-effectively without the need for either wavelength converters or optical buffers which are, currently, neither cost-effective nor technologically mature. However, this type of OBS networks suffers from relatively high loss probability caused by wavelength contentions at core nodes. This issue could prevent or, at least, delay the adoption of OBS networks as a solution for the next generation optical Internet. To enhance the performance of buffer-less OBS networks, we propose two approaches: a) a proactive multi-path approach, called Reinforcement Learningbased Alternative Routing (RLAR), that tries to prevent wavelength contentions; and b) an approach, called Integrated Reinforcement Learning-based Routing and Contention Resolution (IRLRCR) that deals with wavelength contentions proactively and reactively conjointly. We also show relative QoS differentiation capability of the proposed schemes. Simulation results show the ability of the proposed approaches to reduce loss probability and to provide Quality of Service (QoS) differentiation.