The Component Diagnosability of General Networks

Abstract

The processor failures in a multiprocessor system have a negative impact on its distributed computing efficiency. Because of the rapid expansion of multiprocessor systems, the importance of fault diagnosis is becoming increasingly prominent. The h-component diagnosability of G, denoted by ct h (G), is the maximum number of nodes of the faulty set F that is correctly identified in a system, and the number of components in G − F is at least h. In this paper, we determine the (h + 1)component diagnosability of general networks under the PMC model and MM * model. As applications, the component diagnosability is explored for some well-known networks, including complete cubic networks, hierarchical cubic networks, generalized exchanged hypercubes, dual-cube-like networks, hierarchical hypercubes, Cayley graphs generated by transposition trees (except star graphs), and DQcube as well. Furthermore, we provide some compare results between the component diagnosability and other fault diagnosabilities.