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Diameter-Constrained Reliability: Complexity, Factorization and Exact computation in Weak Graphs

Published: 18 September 2014 Publication History

Abstract

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.

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  • (2018)Monte Carlo methods in diameter-constrained reliabilityOptical Switching and Networking10.1016/j.osn.2014.06.00314(134-148)Online publication date: 20-Dec-2018
  • (2017)Building uniformly most-reliable networks by iterative augmentation2017 9th International Workshop on Resilient Networks Design and Modeling (RNDM)10.1109/RNDM.2017.8093016(1-7)Online publication date: Sep-2017
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cover image ACM Other conferences
LANC '14: Proceedings of the Latin America Networking Conference on LANC 2014
September 2014
91 pages
ISBN:9781450332804
DOI:10.1145/2684083
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 September 2014

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  1. Computational Complexity
  2. Diameter-Constrained Reliability
  3. Network Reliability

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LANC '14
LANC '14: Latin America Networking Conference
September 18 - 19, 2014
Montevideo, Uruguay

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View all
  • (2019)Building Reliability-Improving Network Transformations2019 15th International Conference on the Design of Reliable Communication Networks (DRCN)10.1109/DRCN.2019.8713759(107-113)Online publication date: Mar-2019
  • (2018)Monte Carlo methods in diameter-constrained reliabilityOptical Switching and Networking10.1016/j.osn.2014.06.00314(134-148)Online publication date: 20-Dec-2018
  • (2017)Building uniformly most-reliable networks by iterative augmentation2017 9th International Workshop on Resilient Networks Design and Modeling (RNDM)10.1109/RNDM.2017.8093016(1-7)Online publication date: Sep-2017
  • (2017)Petersen Graph is Uniformly Most-ReliableMachine Learning, Optimization, and Big Data10.1007/978-3-319-72926-8_35(426-435)Online publication date: 21-Dec-2017
  • (2016)Duality in stochastic binary systems2016 8th International Workshop on Resilient Networks Design and Modeling (RNDM)10.1109/RNDM.2016.7608272(85-91)Online publication date: Sep-2016

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