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      • Department of Electrical and Electronics Engineering
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      Analytical performance modeling of elastic optical links with aligned spectrum allocation

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      Author
      Vaezi, K.
      Akar, N.
      Date
      2015
      Source Title
      Computer Networks
      Print ISSN
      1389-1286
      Publisher
      Elsevier BV North-Holland
      Volume
      88
      Pages
      40 - 50
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      Abstract Elastic optical networking has recently been proposed for use in optical transport networks to cope with increasingly heterogeneous and dynamic demand patterns. In this paper, we study the blocking performance of a multi-class elastic optical link for which a demand needs to be allocated a contiguous subset of the entire spectrum. This problem is different than the well-known blocking problem in multi-class multi-server loss systems due to the contiguous allocation constraint. We first propose a non-work-conserving aligned spectrum allocation policy which is shown to outperform the conventional first fit-based work-conserving allocation policy without alignment. Subsequently, for blocking performance of an aligned elastic optical link with up to three different traffic classes, we propose a novel and systematic order reduction procedure for MMPPs (Markov Modulated Poisson Process) and use this procedure as the numerical engine to approximately obtain the blocking probabilities. The proposed numerical algorithm is validated under various system and traffic parameters and is shown to be effectively usable as an instrument to dimension elastic optical links.
      Keywords
      Bandwidth blocking probability
      Elastic optical networks
      Markov modulated Poisson process
      Spectrum allocation
      Algorithms
      Network architecture
      Optical links
      Poisson distribution
      Signal systems
      Analytical performance model
      Blocking performance
      Numerical algorithms
      Optical transport networks
      Blocking probability
      Permalink
      http://hdl.handle.net/11693/21525
      Published Version (Please cite this version)
      http://dx.doi.org/10.1016/j.comnet.2015.06.004
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      • Department of Electrical and Electronics Engineering 3524
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