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Spectrum-usage-aware resource allocation and multicast routing in elastic optical networks

Moharrami, M ; Sharif University of Technology | 2017

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  1. Type of Document: Article
  2. DOI: 10.1109/ISTEL.2016.7881779
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2017
  4. Abstract:
  5. In this paper, dynamic resource allocation and multicast routing algorithms are proposed for elastic optical networks (EONs). The proposed algorithms find the shortest path trees by modeling either the amount of free spectrum in each link or the link length as the cost function of routing method. The proposed algorithms are simulated in the dynamic operation scenario over the so called US Backbone topology. Simulation results reveal that by considering the cost function of routing algorithm based on the available spectrum in each link will improve the blocking probability while reduce the spectrum efficiency. On the other hand, by considering link length as the cost function, the blocking probability get worsen whereas the bandwidth efficiency is improved. Consequently, in order to compromise the benefits of both algorithms, we consider a mixed cost function based on the normalized cost function of each method and employing a weighting coefficient to trade-off between blocking probability and spectrum efficiency. © 2016 IEEE
  6. Keywords:
  7. Dynamic resource allocation ; Elastic optical networks (EONs) ; Multicast routing and spectrum assignment (MRSA) ; Blocking probability ; Cost functions ; Costs ; Economic and social effects ; Efficiency ; Fiber optic networks ; Multicasting ; Probability ; Resource allocation ; Routing algorithms ; Bandwidth efficiency ; Dynamic operations ; Dynamic resource allocations ; Elastic optical networks ; Multicast routing ; Multicast routing algorithms ; Multicast traffic ; Spectrum efficiency ; Network routing
  8. Source: 8th International Symposium on Telecommunications, IST 2016, 27 September 2016 through 29 September 2016 ; 2017 , Pages 45-50 ; 9781509034345 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/7881779