Hybrid fault diagnosis capability analysis of regular graphs under the PMC model

摘要

Diagnosabilty is an important metric to the capability of fault identification for multiprocessor systems. However, most researches on diagnosability focus on vertex fault. In real circumstances, not only vertex faults take place but also malfunctions may arise. In this paper, we study the diagnosability of k-regular 2-cn graph with missing edges. Let F_e be a set of missing edges in graph G with |F_e| ≤ k- 5.WeprovethatthediagnosabilityofG- F_e is at most S(G - F_e) for k ≥ 5. Furthermore, we obtain that the worst-case diagnosability (h-edge tolerable diagnosability), denoted by t_h~e(G), is maximum number of faulty nodes that a system G can guarantee to locate when the number of faulty links does not exceed h. As applications, the diagnosabil-ities of many networks with missing edges are determined under the PMC model.