The study of network reliability started in 1956 with a groundbreaking paper by EF Moore
and CE Shannon. They introduced a probabilistic model of network reliability, where the …

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 …

As the cardinality of multiprocessor systems grows, the probability of arising malfunctioning
or failing processors in the system is bound to increase. It is then of both practical and …

In this paper, an algorithm for the fast computation of network reliability bounds is proposed.
The evaluation of the network reliability is an intractable problem for very large networks …

As the size of a multiprocessor computer system grows, the probability of having faulty (ie,
malfunctioning or failing) processors in the system increases. It is then important to quantify …

In this paper, we derive an upper bound on the (n− 1)-star reliability in an Sn using the
probability fault model. Approximate (n− 1)-star reliability results are also obtained using the …

The probability of failing processors in the multiprocessor system increases as the
cardinality of system grows. The subsystem reliability in a system, defined as the probability …

With the rapid growth of the number of processors in a multiprocessor system, faulty
processors occur in it with a probability that rises quickly. The probability of a subsystem with …

In this brief contribution, we derive an exact expression for (n-1)-cube reliability in an n-cube
using a new probability fault model and an existing random fault model. Approximate results …

The exact reliability of a complicated network system is usually difficult to determine, and
numerical approximations may play a crucial role in indicating the reliable probability that a …