scholarly journals The 1-good-neighbor connectivity and diagnosability of Cayley graphs generated by complete graphs

2018 ◽  
Vol 246 ◽  
pp. 108-118 ◽  
Author(s):  
Mujiangshan Wang ◽  
Yuqing Lin ◽  
Shiying Wang
Author(s):  
Jiafei Liu ◽  
Shuming Zhou ◽  
Eddie Cheng ◽  
Gaolin Chen ◽  
Min Li

Multiprocessor systems are commonly deployed for big data analysis because of evolution in technologies such as cloud computing, IoT, social network and so on. Reliability evaluation is of significant importance for maintenance and improvement of fault tolerance for multiprocessor systems, and system-level diagnosis is a primary strategy to identify the faulty processors in the systems. In this paper, we first determine the [Formula: see text]-good-neighbor connectivity of the [Formula: see text]-dimensional Bicube-based multiprocessor system [Formula: see text], a novel variant of hypercube. Besides, we establish the [Formula: see text]-good-neighbor diagnosability of the Bicube-based multiprocessor system [Formula: see text] under the PMC and MM* models.


2020 ◽  
Vol 2020 ◽  
pp. 1-18
Author(s):  
Yanling Wang ◽  
Shiying Wang

Let G = V G , E G be a connected graph. A subset F ⊆ V G is called a g -good-neighbor cut if G − F is disconnected and each vertex of G − F has at least g neighbors. The g -good-neighbor connectivity of G is the minimum cardinality of g -good-neighbor cuts. The n -dimensional modified bubble-sort graph MB n is a special Cayley graph. It has many good properties. In this paper, we prove that the 3-good-neighbor connectivity of MB n is 8 n − 24 for n ≥ 6 .


1996 ◽  
Vol 9 (4) ◽  
pp. 625-642 ◽  
Author(s):  
L. L. Doty ◽  
R. J. Goldstone ◽  
C. L. Suffel

2018 ◽  
Vol 34 (2) ◽  
pp. 386-397 ◽  
Author(s):  
Yi-jie Shang ◽  
Rong-xia Hao ◽  
Mei-mei Gu

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