t/k-fault diagnosis algorithm of n-dimensional hypercube network based on the MM*model  

作　　者：LIANG Jiarong ZHOU Ning YUN Long 

机构地区：[1]School of Computer and Electronics Information,Guangxi University,Nanning 530004,China [2]Guangxi Key Laboratory of Multimedia Communications and Network Technology,Nanning 530004,China

出　　处：《Journal of Systems Engineering and Electronics》2018年第1期216-222,共7页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61363002)

摘　　要：Compared with accurate diagnosis, the system’s selfdiagnosing capability can be greatly increased through the t/kdiagnosis strategy at most k vertexes to be mistakenly identified as faulty under the comparison model, where k is typically a small number. Based on the Preparata, Metze, and Chien(PMC)model, the n-dimensional hypercube network is proved to be t/kdiagnosable. In this paper, based on the Maeng and Malek(MM)*model, a novel t/k-fault diagnosis(1≤k≤4) algorithm of ndimensional hypercube, called t/k-MM*-DIAG, is proposed to isolate all faulty processors within the set of nodes, among which the number of fault-free nodes identified wrongly as faulty is at most k. The time complexity in our algorithm is only O(2~n n~2).Compared with accurate diagnosis, the system's selfdiagnosing capability can be greatly increased through the t/kdiagnosis strategy at most k vertexes to be mistakenly identified as faulty under the comparison model, where k is typically a small number. Based on the Preparata, Metze, and Chien(PMC)model, the n-dimensional hypercube network is proved to be t/kdiagnosable. In this paper, based on the Maeng and Malek(MM)*model, a novel t/k-fault diagnosis(1≤k≤4) algorithm of ndimensional hypercube, called t/k-MM*-DIAG, is proposed to isolate all faulty processors within the set of nodes, among which the number of fault-free nodes identified wrongly as faulty is at most k. The time complexity in our algorithm is only O(2~n n^2).

关 键 词：hypercube network t/k-diagnosis algorithm multiprocessor systems the Maeng and Malek(MM)* model Preparata Metze and Chien(PMC) 

分 类 号：N945[自然科学总论—系统科学]