The underlying topology of the interconnection network of parallel and distributed systems is
usually modelled by a simple connected graph. In order to quantitatively analyze the …

Enhancing the invulnerability of multiprocessor systems against malicious attacks has been
regarded as one of the important issues in network science and big data era. Thus, in order …

In the wake of rapid development of multiprocessor systems, fault tolerance of processors
plays an even more vital role in measuring the reliability of a multiprocessor system. The g …

Data center networks (DCNs) always strive to ensure high reliability and fault tolerance
when Big Data processing and cloud computing are carried out. One effective method is to …

There are various ways to measure the reliability and fault tolerance of diverse networks.
The g-extra connectivity κ g (G) of a connected graph G is the minimal cardinality of vertex …

The t/kt/k-diagnosability and hh-extra connectivity are regarded as two important indicators
to improve the network reliability. The t/k-diagnosis strategy can significantly improve the self …

We study here the diagnosability of networks under two models of self-diagnosis: PMC
model introduced by Preparata, Metze and Chien (IEEE Trans Electronic Computers 16 (12) …

Reliability analysis of an interconnection network is of great significance to the design and
maintenance of multiprocessor systems. The h-extra edge-connectivity of a given …

The-ary-cube is one of the most popular interconnection networks engaged as the
underlying topology of data center networks, on-chip networks, and parallel and distributed …

Intermittent faults are common in daily life and industrial manufacture, which have been
drawing much attention from both academia and industry. In practice, intermittent faults will …