All-terminal reliability is one of the measurements to evaluate the reliability for network systems. Since it may need exponential time of the network size to compute the exact value of all-terminal reliability, it is important to calculate its tight approximate value, especially its lower bound, at a moderate calculation time. Ramanathan and Colbourn have proposed approaches for lower bounds o...

During the last three decades, many software reliability models have been proposed and analyzed for measuring software reliability. Those models are mathematical models that represent software failures as a random process and can be used to evaluate development status during testing. Also they proposed artificial neural network based approach for software reliability estimation and modeling. Th...

1 Abstract The network reliability analysis problem consists of evaluating a measure of the reliability of a network. A more general context than the network reliability analysis is the stochastic coherent binary system (SCBS) analysis. One approach used in determining the reliability of a system involves Boolean algebra, and in particular a sum of disjoint products (SDP) technique. This paper ...

Software reliability is a key part in software quality. It is the ability of the software to perform its specified function under some specific condition. Reliability can be associated with both hardware and software. The hardware reliability can easily be evaluated since hardware get wear out but in case of software it be very difficult. So neural networks have been used for the last few decad...

Mobile ad hoc network (MANET) is a dynamic wireless communication network. Because of the dynamic and infrastructureless characteristics, MANET is vulnerable in reliability. This paper presents a novel reliability analysis for MANET. The node mobility effect and the node reliability based on a real MANET platform are modeled and analyzed. An effective Monte Carlo method for reliability analysis...

Damage scenarios for large networks are considered. The cascade scenario is described by means of powers of adjacency matrix. More difficult probabilistic variants of the large network damage are modeling by Markov’s chains. For reliability augmentation of networks we add a set of random intermediate agents with big dimensionality. It provides high reliability of all system even with low reliab...

We apply a genetic algorithm (GA) to optimize a reliability design problem using a neural network as a reliability estimator for calculation of the objective function value during the search. The GA produces the lowest cost option for a required system reliability by selecting the appropriate parts and levels of redundancy. We show that the neural network estimator is effective and computationa...

In this paper, we proposed an algorithm to estimate the reliability of a hybrid computer communication network. A hybrid computer network is a network that consists of wire and wireless sub networks. The proposed algorithm is built upon using a simulation model due to the complexity of the network topology. We tested the proposed algorithm, and the results show consistency in the reliability es...

This paper proposes a bi-objective reliable supply chain network design that immunizes the network against different sources of uncertainties. In this regard, scenario based stochastic programming method is applied to model different disruption scenarios affecting accurate performance of network stages. Also, reliable and unreliable facilities are suggested for lessening vulnerability of networ...

With the continuous development of the times and network technology continues to improve. Among the current areas of all walks of life computer networks has become a major tool of work, how to be able to once again raise the existing foundation on the face of the reliability of the computer network, which is a lot of people are concerned about the problem. With respect to the conventional algor...