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تفاصيل البطاقة الفهرسية

Conditional Diagnosability of Alternating Group Networks Under the PMC Model

مقال من تأليف: Chang, Nai-Wen ; Hsieh, Sun-yuan ;

ملخص: Fault diagnosis of processors has played an essential role when evaluating the reliability of multiprocessor systems. In many novel multiprocessor systems, their diagnosability has been extensively explored. Conditional diagnosability is a useful measure for evaluating diagnosability by adding a further condition that all neighbors of every node in the system do not fail at the same time. In this paper, we study the conditional diagnosability of n-dimensional alternating group networks ANn under the PMC model, and obtain the results tc(AN 4 ) = 5, and tc(ANn) = 6n - 17 for n > 5. In addition, for the isomorphism property between AN n and S n,k with k = n-2, namely (n, n - 2)-star graphs S n,n-2 , the above results can be extended to S n,n-2 , and we have tc(S 4,2 ) = 5 and tc(S n,n-2 ) = 6n - 17 for n > 5. It is worth noting that the conditional diagnosability is about six times the degree of ANn andS n,n-2 , which is very different from general networks with a multiple of four.


لغة: إنجليزية