Proactive restoration of slow-failures in optical networks

Domenico Siracusa, Federico Pederzolli, Elio Salvadori, Renato Lo Cigno, Idelfonso Tafur Monroy

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Current optical networks, while offering outstanding reliability, still suffer from occasional failures. A resource-efficient procedure to handle these failures in un-protected scenarios is to perform restoration, i.e., to dynamically setup a backup lightpath after the primary one stops working, which leads to traffic losses while such operation completes. In this paper we propose a technique, applicable to optical networks with centralized control, to better handle failures with slow transients. The idea is to proactively perform the backup lightpath's setup, triggered by either a fixed or an adaptive threshold. The latter is chosen so as to balance the need of offsetting the setup time with the need of preventing unnecessary setups. Simulations show that the adaptive threshold provides better performance than the fixed one, in terms of both timely restorations and unnecessary setup operations.
Original languageEnglish
Title of host publicationProceedings of 16th International Conference on Transparent Optical Networks
Number of pages4
Publication date2014
ISBN (Print)978-1-4799-5601-2
Publication statusPublished - 2014
Event16th International Conference on Transparent Optical Networks - Graz, Austria
Duration: 6 Jul 201410 Jul 2014
Conference number: 16


Conference16th International Conference on Transparent Optical Networks
Internet address


  • optical fibre networks
  • telecommunication network reliability
  • Communication, Networking and Broadcast Technologies
  • Components, Circuits, Devices and Systems
  • Engineered Materials, Dielectrics and Plasmas
  • Photonics and Electrooptics
  • Adaptation models
  • backup lightpath setup
  • Bit error rate
  • centralized control
  • History
  • Monitoring
  • Optical fiber networks
  • optical networks
  • Predictive models
  • proactive
  • resource efficient procedure
  • restoration
  • slow failure proactive restoration
  • slow failures
  • Transient analysis

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