Diagnosability of a multiprocessor system is an important research topic. The system and interconnection network has a underlying topology, which usually presented by a graph G = ( V , E ) . In 2012, a measurement for fault tolerance of the graph was proposed by Peng et al. This measurement is called the g-good-neighbor diagnosability that restrains every fault-free node to contain at least g fault-free neighbors. Under the PMC model, to diagnose the system, two adjacent nodes in G are can perform tests on each other. Under the MM model, to diagnose the system, a node sends the same task to two of its neighbors, and then compares their responses. The MM* is a special case of the MM model and each node must test its any pair of adjace...
We consider problems of fault diagnosis in multiprocessor systems. Preparata, Metze and Chien (1967)...
AbstractWe consider problems of fault diagnosis in multiprocessor systems. Preparata, Metze and Chie...
Ahlswede R, Aydinian H. On diagnosability of large multiprocessor networks. Discrete Applied Mathema...
Diagnosability of a multiprocessor system is an important topic of study. A measure for fault diagno...
Diagnosability plays an important role in appraising the reliability and fault tolerance of symmetri...
A network\u27s diagnosability is the maximum number of faulty vertices the network can discriminate ...
Diagnosability is an important metric for measuring the reliability of multiprocessor systems. In 20...
Processor fault diagnosis has played an important role in measuring the reliability of a multiproces...
Many multiprocessor systems have interconnection networks as underlying topologies and an interconne...
An interconnection network\u27s diagnosability is an important measure of its self-diagnostic capabi...
The reliability of an interconnection network is an important issue for multiprocessor systems. We k...
Abstract: As the size of a multiprocessor system increases, processor failure is inevitable, and fau...
Abstract. As the size of a multiprocessor system increases, processor failure is inevitable, and fau...
The diagnosability is an important parameter in measuring the fault tolerance and the reliability of...
Abstract—Diagnosability has played an important role in the reliability of an interconnection networ...
We consider problems of fault diagnosis in multiprocessor systems. Preparata, Metze and Chien (1967)...
AbstractWe consider problems of fault diagnosis in multiprocessor systems. Preparata, Metze and Chie...
Ahlswede R, Aydinian H. On diagnosability of large multiprocessor networks. Discrete Applied Mathema...
Diagnosability of a multiprocessor system is an important topic of study. A measure for fault diagno...
Diagnosability plays an important role in appraising the reliability and fault tolerance of symmetri...
A network\u27s diagnosability is the maximum number of faulty vertices the network can discriminate ...
Diagnosability is an important metric for measuring the reliability of multiprocessor systems. In 20...
Processor fault diagnosis has played an important role in measuring the reliability of a multiproces...
Many multiprocessor systems have interconnection networks as underlying topologies and an interconne...
An interconnection network\u27s diagnosability is an important measure of its self-diagnostic capabi...
The reliability of an interconnection network is an important issue for multiprocessor systems. We k...
Abstract: As the size of a multiprocessor system increases, processor failure is inevitable, and fau...
Abstract. As the size of a multiprocessor system increases, processor failure is inevitable, and fau...
The diagnosability is an important parameter in measuring the fault tolerance and the reliability of...
Abstract—Diagnosability has played an important role in the reliability of an interconnection networ...
We consider problems of fault diagnosis in multiprocessor systems. Preparata, Metze and Chien (1967)...
AbstractWe consider problems of fault diagnosis in multiprocessor systems. Preparata, Metze and Chie...
Ahlswede R, Aydinian H. On diagnosability of large multiprocessor networks. Discrete Applied Mathema...