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

Research Article

Simplified Overflow Analysis of an Optical Burst Switch with Fibre Delay Lines

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  • @INPROCEEDINGS{10.4108/ICST.BROADNETS2009.7275,
        author={Conor McArdle and Daniele Tafani and Liam P. Barry and Anthony Holohan and Thomas Curran},
        title={Simplified Overflow Analysis of an Optical Burst Switch with Fibre Delay Lines},
        proceedings={6th International ICST Conference on Broadband Communications, Networks, and Systems},
        publisher={IEEE},
        proceedings_a={BROADNETS},
        year={2009},
        month={11},
        keywords={Circuit analysis Delay lines Large-scale systems Optical fiber theory Optical switches Optical wavelength conversion Switching circuits Traffic control Tunable circuits and devices Tuned circuits},
        doi={10.4108/ICST.BROADNETS2009.7275}
    }
    
  • Conor McArdle
    Daniele Tafani
    Liam P. Barry
    Anthony Holohan
    Thomas Curran
    Year: 2009
    Simplified Overflow Analysis of an Optical Burst Switch with Fibre Delay Lines
    BROADNETS
    IEEE
    DOI: 10.4108/ICST.BROADNETS2009.7275
Conor McArdle1,*, Daniele Tafani1, Liam P. Barry1, Anthony Holohan1, Thomas Curran1
  • 1: Research Institute for Networks & Communications Engineering, School of Electronic Engineering, Dublin City University, Ireland
*Contact email: mcardlec@eeng.dcu.ie

Abstract

We develop an approximate analytic model of an Optical Burst Switch with share-per-node fibre delay lines and tuneable wavelength converters by employing Equivalent Random Theory, an approach from circuit-switching analysis. Our model is formulated in terms of virtual traffic flows within the switch from which we derive expressions for burst blocking probability, fibre delay line occupancy and mean delay, which we then resolve numerically. Emphasis is on simplicity of the model to achieve good numerical efficiency so that the method can be useful for formulating dimensioning problems for largescale networks. Solution values from the analysis are compared with discrete-event simulation results.