Spectrum fragmentation metrics and their use in optical channel allocation algorithms
Spectrum fragmentation metrics and their use in optical channel allocation algorithms
- Author(s): M. Quagliotti ; D.C. Arango ; M. Schiano ; A. Carena ; M. Cantono ; V. Curri
- DOI: 10.1049/cp.2017.0187
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- Author(s): M. Quagliotti ; D.C. Arango ; M. Schiano ; A. Carena ; M. Cantono ; V. Curri Source: 19th Italian National Conference on Photonic Technologies (Fotonica 2017), 2017 page ()
- Conference: 19th Italian National Conference on Photonic Technologies (Fotonica 2017)
- DOI: 10.1049/cp.2017.0187
- ISBN: 978-1-78561-757-7
- Location: Padua, Italy
- Conference date: 3-5 May 2017
- Format: PDF
A wide overview of metrics to evaluate the spectrum fragmentation is presented together with their application for Routing and Spectrum Assignment (RSA) in Elastic Optical Networks (EONs). A basic heuristic spectrum allocation algorithm conceived for keeping the fragmentation index low during the connection allocation process has been defined. Starting from the application of such algorithm on a single link, the analysis has been extended to encompass sample networks and a real size case study. It has been found that, in both contexts of dynamic traffic and semi-static incremental network loading, good heuristics based on simple and low computational demanding allocation policy (e.g., First Fit), perform very close, in terms of average traffic loss, to methods which use more complex algorithms based on fragmentation metrics. However some of the applied metrics result still beneficial as they obtain an equalization of the connection blocking rates between the various types of multi granular traffic and the probability of blocking of high spectrum demanding superchannels results considerably reduced.
Inspec keywords: telecommunication network routing; optical fibre networks; channel allocation; telecommunication traffic; probability
Subjects: Optical fibre networks; Communication network design, planning and routing; Other topics in statistics; Optimisation techniques
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