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Related Experiment Video

Updated: May 25, 2026

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

Dynamic on-demand defragmentation in flexible bandwidth elastic optical networks.

Yawei Yin1, Ke Wen, David J Geisler

  • 1Department of Electrical and Computer Engineering, University of California, Davis, California 95616, USA. yyin@ucdavis.edu

Optics Express
|January 26, 2012
PubMed
Summary

This study tackles spectral fragmentation in flexible bandwidth elastic optical networks. Proposed defragmentation algorithms significantly reduce blocking probability and minimize disrupted connections in these networks.

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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Transmission of Multiple Signals through an Optical Fiber Using Wavefront Shaping
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Area of Science:

  • Computer Science
  • Optical Networking
  • Telecommunications

Background:

  • Flexible bandwidth elastic optical networking offers promising future network capabilities.
  • Spectral fragmentation is a key challenge, increasing blocking probability and degrading performance.
  • Efficiently managing spectrum is crucial for network efficiency.

Purpose of the Study:

  • To address the spectral defragmentation problem in flexible bandwidth elastic optical networks.
  • To propose and evaluate novel defragmentation algorithms and node architectures.
  • To reduce blocking probability and minimize connection disruptions.

Main Methods:

  • An auxiliary graph-based approach is used to model the defragmentation problem.
  • The problem is transformed into finding the maximum independent set (MIS) in the auxiliary graph.
  • Heuristic defragmentation algorithms are developed and simulated.

Main Results:

  • The proposed min-cost defragmentation algorithms significantly reduce blocking probability.
  • A substantial minimization in the number of disrupted connections is achieved.
  • The effectiveness of defragmentation-capable node architectures is demonstrated.

Conclusions:

  • The auxiliary graph-based approach effectively solves the spectral defragmentation problem.
  • The proposed algorithms offer a viable solution for improving optical network performance.
  • This work contributes to the advancement of spectrally efficient optical networks.