Hamiltonian graphs with minimum number of edges for fault-tolerant topologies

1992 ◽  
Vol 44 (2) ◽  
pp. 95-99 ◽  
Author(s):  
Krishnendu Mukhopadhyaya ◽  
Bhabani P. Sinha
2004 ◽  
Vol 148 (3) ◽  
pp. 729-741 ◽  
Author(s):  
Y-Chuang Chen ◽  
Chang-Hsiung Tsai ◽  
Lih-Hsing Hsu ◽  
Jimmy J.M. Tan

1994 ◽  
Vol 04 (04) ◽  
pp. 385-389 ◽  
Author(s):  
RAY-SHYNG CHOU ◽  
LIH-HSING HSU

A graph G* is k-edge fault-tolerant with respect to a graph G, denoted by k- EFT (G), if every graph obtained by removing any k edges from G* contains G. A k- EFT (G) graph is optimal if it contains the minimum number of edges among all k- EFT (G) graphs. Recently, Harary and Hayes have presented a design which is 1-EFT with respect to meshes and conjectured that their design is optimal. We prove their conjecture is false by giving another design which is 1-EFT with respect to meshes.


Networks ◽  
10.1002/net.6 ◽  
2001 ◽  
Vol 37 (3) ◽  
pp. 165-170 ◽  
Author(s):  
Chun-Nan Hung ◽  
Lih-Hsing Hsu ◽  
Ting-Yi Sung

2020 ◽  
Vol 20 (01) ◽  
pp. 2050003
Author(s):  
WENJUN LIU

The g-extra connectivity of a multiprocessor system modeled by a graph G, denoted by [Formula: see text] (G), is the minimum number of removed vertices such that the network is disconnected and each residual component has no less than g + 1 vertices. The t/k-diagnosis strategy can detect up to t faulty processors which might include at most k misdiagnosed processors. These two parameters are important to measure the fault tolerant ability of a multiprocessor system. The extra connectivity and t/k-diagnosability of many well-known networks have been investigated extensively and independently. However, the general relationship between the extra connectivity and the t/k-diagnosability of general regular networks has not been established. In this paper, we explore the relationship between the k-extra connectivity and t/k-diagnosability for regular networks under the classic PMC diagnostic model. More specifically, we derive the relationship between 1-extra connectivity and pessimistic diagnosability for regular networks. Furthermore, the t/k-diagnosability and pessimistic diagnosability of some networks, including star network, BC networks, Cayley graphs generated by transposition trees etc., are determined.


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