Cross-layer optimization issues for realizing transparent mesh optical networks

S. Azodolmolky, T. Cinkler, D. Klonidis, Z. Szilard, I. Tomkos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In transparent optical networks as the signal propagates through a transparent network it experiences the impact of a variety of quality degrading phenomena that are introduced by different types of signal distortions. In this chapter we present a new optical networking paradigm for mesh topology, in which the impact of physical layer impairments are considered in lightpath routing (routing and wavelength assignment) process and also is integrated in the control plane and network planning and operational tools. We also show that by taking into account both, the physical impairments characterized by the Q-factor, as we propose and the features of the electrical layer will have a strong impact onto the impairments constraints based routing The number of regenerator ports in optical nodes is another constraint which has a strong impact onto the routing. We show the impact of these ports to a routing that is based on impairment constraints where the electronic layer can support traffic grooming.

Original languageEnglish
Title of host publicationTowards Digital Optical Networks
Subtitle of host publicationCOST Action 291 Final Report
Pages167-188
Number of pages22
DOIs
Publication statusPublished - Jul 20 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5412 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Azodolmolky, S., Cinkler, T., Klonidis, D., Szilard, Z., & Tomkos, I. (2009). Cross-layer optimization issues for realizing transparent mesh optical networks. In Towards Digital Optical Networks: COST Action 291 Final Report (pp. 167-188). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5412 LNCS). https://doi.org/10.1007/978-3-642-01524-3_7