Conditional diagnosability of matching composition networks under the MM* model
Diagnosability is a critical metric for determining the reliability of a multiprocessor system. In 2005, Lai et al. proposed a new measure for the fault diagnosis of a system, i.e., conditional diagnosability, in which it is assumed that at least one of the neighbors of an arbitrary node in the system is not faulty. In this paper, we obtain a sufficient condition for a class of networks, called Matching Composition Networks (MCNs), which are conditionally t-diagnosable under the MM* model. Then, we apply. the sufficient condition to show the conditional diagnosability of bijective connection (BC) networks. Finally, we show that the sufficient condition can be applied to networks other than BC networks. (C) 2013 Elsevier Inc. All rights reserved.
conditional diagnosability matching composition networks mm* model multiprocessor systems comparison diagnosis model