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Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/20.500.12008/49701 Cómo citar
Título: Diameter-constrained reliability : Complexity, factorization and exact computation in weak graphs.
Autor: Canale, Eduardo
Piccini, Juan
Robledo, Franco
Romero, Pablo
Tipo: Preprint
Palabras clave: Computational Complexity, Network Reliability, Diameter-Constrained Reliability
Fecha de publicación: 2014
Resumen: In this paper we address a problem from the field of network reliability, called diameter-constrained reliability. Specifically, we are given a simple graph G = (V, E) with [V] = n nodes and [E] = m links, a subset K ⊆ V of terminals, a vector p = (p1,...,pm) ϵ [0, 1]m and a positive integer d, called diameter. We assume nodes are perfect but links fail stochastically and independently, with probabilities qi = 1 --- pi. The diameter-constrained reliability (DCR for short), is the probability that the terminals of the resulting subgraph remain connected by paths composed by d links, or less. This number is denoted by RdK,G(p). The general DCR computation is inside the class of NP-Hard problems, since is subsumes the complexity that a random graph is connected. In this paper the computational complexity of DCR-subproblems is discussed in terms of the number of terminal nodes k = [K] and diameter d. A factorization formula for exact DCR computation is provided, that runs in exponential time in the worst case. Finally, a revision of graph-classes that accept DCR computation in polynomial time is then included. In this class we have graphs with bounded co-rank, graphs with bounded genus, planar graphs, and, in particular, Monma graphs, which are relevant in robust network design. We extend this class adding arborescence graphs. A discussion of trends for future work is offered in the conclusions.
Citación: Canale, E., Piccini, J., Robledo, F, y otros. Diameter-constrained reliability : Complexity, factorization and exact computation in weak graphs [Preprint]. Publicado en: LANC '14 : Latin America Networking Conference, Montevideo, Uruguay, 18-19 sep. 2014, pp. 1-7.
Aparece en las colecciones: Publicaciones académicas y científicas - IMERL (Instituto de Matemática y Estadística Rafael Laguardia)

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