GORA: An algorithm for designing optical cross-connect nodes with improved dependability

Edward Mutafungwa*

*Corresponding author for this work

    Research output: Contribution to journalArticleScientificpeer-review

    3 Citations (Scopus)


    This paper considers the problem of enhancing the dependability (availability and its influencing factors) of optical cross connect nodes. These nodes are expected to be a crucial part of future optical communication networks. The genetic optimum redundancy allocation (GORA) algorithm proposed here is based on a hybrid genetic algorithm and solves the dependability enhancement problem by optimizing the allocation of redundant modules in the nodes. Three redundancy schemes are considered: (1) global duplicate (2) local standby and (3) k-out-of-n:G redundancy. After applying the GORA algorithm to four example nodes, the optimized third redundancy scheme provided the overall best dependability performance. This suggests that redundancy is more effective when provided at the OXN subsystem level. Further capabilities of the GORA algorithm as a network planning tool also presented and some improvements are proposed.

    Original languageEnglish
    Pages (from-to)1454-1464
    Number of pages11
    JournalComputer Communications
    Issue number16
    Publication statusPublished - 1 Oct 2002
    MoE publication typeA1 Journal article-refereed


    • Dependability
    • Genetic algorithms
    • Optical cross-connects
    • Optical networks


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