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  4. Optimal multiculture network design for maximizing resilience in the face of multiple correlated failures
 
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Optimal multiculture network design for maximizing resilience in the face of multiple correlated failures
Prieto, Yasmany
Boettcher, Nicolas
Dra. Restrepo-Medina, Silvia 
Facultad de Ingeniería 
Pezoa, Jorge E.
10.3390/app9112256
Applied Sciences
2019
Current data networks are highly homogeneous because of management, economic, and interoperability reasons. This technological homogeneity introduces shared risks, where correlated failures may entirely disrupt the network operation and impair multiple nodes. In this paper, we tackle the problem of improving the resilience of homogeneous networks, which are affected by correlated node failures, through optimal multiculture network design. Correlated failures regarded here are modeled by SRNG events. We propose three sequential optimization problems for maximizing the network resilience by selecting as different node technologies, which do not share risks, and placing such nodes in a given topology. Results show that in the 75% of real-world network topologies analyzed here, our optimal multiculture design yields networks whose probability that a pair of nodes, chosen at random, are connected is 1, i.e., its ATTR metric is 1. To do so, our method efficiently trades off the network heterogeneity, the number of nodes per technology, and their clustered location in the network. In the remaining 25% of the topologies, whose average node degree was less than 2, such probability was at least 0.7867. This means that both multiculture design and topology connectivity are necessary to achieve network resilience.
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Correlated failures
Multiculture topology
Network diversity
Network vulnerability
Network robustness
Resilience
Software risks
Ciencias físicas
Otras ingenierías y tecnologías
Ingeniería de materiales
Ciencias químicas
Historial de mejoras
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