Resolving epidemic network failures through differentiated repair times

Anna Manolova Fagertun, Sarah Renée Ruepp, Marc Manzano

    Research output: Contribution to journalJournal articleResearchpeer-review


    In this study, the authors investigate epidemic failure spreading in large-scale transport networks under generalisedmulti-protocol label switching control plane. By evaluating the effect of the epidemic failure spreading on the network,they design several strategies for cost-effective network performance improvement via differentiated repair times. First, theyidentify the most vulnerable and the most strategic nodes in the network. Then, via extensive event-driven simulations theyshow that strategic placement of resources for improved failure recovery has better performance than randomly assigninglower repair times among the network nodes. They believe that the event-driven simulation model can be highly beneficialfor network providers, since it could be used during the network planning process for facilitating cost-effective networksurvivability design.
    Original languageEnglish
    JournalI E T Networks
    Issue number1
    Pages (from-to)65-73
    Number of pages9
    Publication statusPublished - 2015


    • Network resiliency
    • GMPLS
    • Epidemics
    • Failure propagation
    • Performance evaluation


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