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Network Reliability and Resilience

Ilya Gertsbakh, Yoseph Shpungin

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Springer Berlin img Link Publisher

Naturwissenschaften, Medizin, Informatik, Technik / Elektronik, Elektrotechnik, Nachrichtentechnik

Beschreibung

This book is devoted to the probabilistic description of the behavior of a network in the process of random removal of its components (links, nodes) appearing as a result of technical failures, natural disasters or intentional attacks. It is focused on a practical approach to network reliability and resilience evaluation, based on applications of Monte Carlo methodology to numerical approximation of network combinatorial invariants, including so-called multidimensional destruction spectra. This allows to develop a probabilistic follow-up analysis of the network in the process of its gradual destruction, to identify most important network components and to develop efficient heuristic algorithms for network optimal design. Our methodology works with satisfactory accuracy and efficiency for most applications of reliability theory to real –life problems in networks.

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Schlagwörter

Connectivity Estimation, Network Resilience, Multidimensional D-spectra, Monte Carlo, Marginal D- spectra, Probabilistic Measures, Computer Attacks, quality control, reliability, safety and risk, Node Removal