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- W2085267507 abstract "Large-scale failures resulting from natural disasters or intentional attacks are now causing serious concerns for communication network infrastructure, as the impact of large-scale network connection disruptions may cause significant costs for service providers and subscribers. In this paper, we propose a new framework for the analysis and prevention of network service disruptions in large-scale failure scenarios. We build dynamic deterministic and probabilistic models to capture the impact of regional failures as they evolve with time. A probabilistic failure model is proposed based on wave energy behaviour. Then, we develop a novel approach for preventive protection of the network in such probabilistic large-scale failure scenarios. We show that our method significantly improves uninterrupted delivery of data in the network and reduces service disruption times in large-scale regional failure scenarios." @default.
- W2085267507 created "2016-06-24" @default.
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- W2085267507 date "2014-10-01" @default.
- W2085267507 modified "2023-10-17" @default.
- W2085267507 title "Enhancing network service survivability in large-scale failure scenarios" @default.
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- W2085267507 doi "https://doi.org/10.1109/jcn.2014.000092" @default.
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