The -good neighbor conditional diagnosability of locally exchanged twisted cubes
arXiv:1807.08846
Abstract
Connectivity and diagnosability are important parameters in measuring the fault tolerance and reliability of interconnection networks. The -vertex-connectivity of a connected graph is the minimum cardinality of a faulty set such that is disconnected and every fault-free vertex has at least fault-free neighbors. The -good-neighbor conditional diagnosability is defined as the maximum cardinality of a -good-neighbor conditional faulty set that the system can guarantee to identify. The interconnection network considered here is the locally exchanged twisted cube . For and , we first determine the -vertex-connectivity of , then establish the -good neighbor conditional diagnosability of under the PMC model and MM model, respectively.
19 pages, 4 figures