2023
DOI: 10.1142/s0129626423500032
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An O(log(N)) Algorithm View: Reliability Evaluation of Folded-crossed Hypercube in Terms of h-extra Edge-connectivity

Abstract: An interconnection network can be modelled as a connected graph [Formula: see text]. The reliability of interconnection networks is critical for multiprocessor systems. Several conditional edge-connectivities have been introduced in the past for accurately reflecting various realistic network situations, with the [Formula: see text]-extra edge-connectivity being one such conditional edge-connectivity. The [Formula: see text]-extra edge-connectivity of [Formula: see text], denoted by [Formula: see text], is the… Show more

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Cited by 3 publications
(1 citation statement)
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“…The h-extra edge-connectivity λ h (G) was proposed by Fàbrega et al [8], which is defined as the minimum number of edges whose removal results in a disconnected network and each component has at least h + 1 vertices. Many scholars have studied its h-extra edge-connectivity in diverse networks, such as bijective connection networks B n [36], folded hypercube F Q n [37], augmented cube AQ n [29,39], 3-ary n-cube Q 3 n [28], folded crossed cube F CQ n [24]. The g-good-neighbor edge-connectivity λ g (G) was proposed by Latifi [15], which is defined as the minimum number of edges whose removal results in a disconnected network and each vertex has at least g neighbors.…”
Section: Introductionmentioning
confidence: 99%
“…The h-extra edge-connectivity λ h (G) was proposed by Fàbrega et al [8], which is defined as the minimum number of edges whose removal results in a disconnected network and each component has at least h + 1 vertices. Many scholars have studied its h-extra edge-connectivity in diverse networks, such as bijective connection networks B n [36], folded hypercube F Q n [37], augmented cube AQ n [29,39], 3-ary n-cube Q 3 n [28], folded crossed cube F CQ n [24]. The g-good-neighbor edge-connectivity λ g (G) was proposed by Latifi [15], which is defined as the minimum number of edges whose removal results in a disconnected network and each vertex has at least g neighbors.…”
Section: Introductionmentioning
confidence: 99%