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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao zbMATH Openarrow_drop_down
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Article . 2001
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Article . 2001 . Peer-reviewed
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An Algorithm to Compute the All-terminal Reliability Measure

An algorithm to compute the all-terminal reliability measure.
Authors: Cancela, Héctor; Rubino, Gerardo; Urquhart, María E.;

An Algorithm to Compute the All-terminal Reliability Measure

Abstract

In the evaluation of the reliability of a multi-component system, the most important among several models fit into the class of stochastic graph models, for which an exact evaluation of reliability metrics is costly since these are classed in the NP-hard family As a consequence, many computation methods exist. This paper considers the all-terminal reliability measure R, which is extremely useful in the context of communication networks. It represents the probability that network nodes can exchange messages, taking into account possible failures of network components (nodes and links). The algorithm has the property of working with a bounded space, in fact, with space complexity linear in the size of the problem, an improvement over existing techniques which are exponential in space.

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Keywords

Combinatorial probability, Reliability, availability, maintenance, inspection in operations research

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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