2017
DOI: 10.1016/j.dam.2016.09.047
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The 2-good-neighbor connectivity and 2-good-neighbor diagnosability of bubble-sort star graph networks

Abstract: Connectivity plays an important role in measuring the fault tolerance of interconnection networks. The g-good-neighbor connectivity of an interconnection network G is the minimum cardinality of g-good-neighbor cuts. Diagnosability of a multiprocessor system is one important study topic. A new measure for fault diagnosis of the system restrains that every fault-free node has at least g fault-free neighbor vertices, which is called the g-good-neighbor diagnosability of the system. As a famous topology structure … Show more

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Cited by 47 publications
(68 citation statements)
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“…For details, see [3]. Recently, Wang et al [6] studied the 2-good-neighbor connectivity and 2good-neighbor diagnosability of bubble-sort star graph networks. Yu and Huang [4] proved that the 2-extra vertex connectivity of the modified bubble-sort graph was 3n − 5.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…For details, see [3]. Recently, Wang et al [6] studied the 2-good-neighbor connectivity and 2good-neighbor diagnosability of bubble-sort star graph networks. Yu and Huang [4] proved that the 2-extra vertex connectivity of the modified bubble-sort graph was 3n − 5.…”
Section: Introductionmentioning
confidence: 99%
“…So, 5 ≤ |F| ≤ 11. We decompose B 6 along the last position, denoted by [2,6] | � 0. B [2,6] 6 is connected by Claim 1.…”
mentioning
confidence: 99%
“…Gu et al [8] determined the pessimistic diagnosability of BS n . Wang et al [21,22] studied the 2-extra connectivity (resp. 2-good-neighbor connectivity) and the 2-extra diagnosability (resp.…”
Section: Introductionmentioning
confidence: 99%
“…In [7], Wang and Han studied the g-good-neighbor diagnosability of the n-dimensional hypercube under the MM* model. There is a significant amount of research on the g-good-neighbor diagnosability of graphs [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24].…”
Section: Introductionmentioning
confidence: 99%