Sensitivity analysis of network reliability using Monte Carlo (revision 1, Dec. 17, 2005) We analyze the computation of sensitivities in network reliability analysis. The associated models are graphs whose components are weighted by probabilities (their reliabilities) and they are widely used, for instance, in the design of communication networks. The paper deals with the sensitivities of usual reliability network metrics, with respect to the reliabilities of the components. The importance of sensitivities in this context is discussed and it is shown how to efficiently estmate the vector of sensitivities using Monte Carlo procedures. A first result allows to evaluate sensitivities using the standard Monte Carlo approach. A second method is ...
A central issue in the analysis of complex networks is the assessment of their robustness and vulner...
Evaluating the system reliability of a stochastic network is an important topic in the planning, des...
A central issue in the analysis of complex networks is the assessment of their robustness and vulner...
International audienceIn this paper we consider static models in network reliability, that cover a h...
Abstract:- In this paper we focus on computational aspects of network reliability importance measure...
The exact evaluation of usual reliability measures of communication networks is seriously limited be...
Sensitivity analysis is a general technique for investigating the robustness of the output of a math...
Estimating the reliability of a computer network has been a subject of great interest. It is a well ...
In reliability analysis, the goal is to determine the probability of consistent operation of a syste...
Abstract. Monte Carlo simulation offers a valuable tool for capturing the complex stochastic behavio...
Diagnostic reasoning in essence amounts to reasoning about an unobservable condition, based on indir...
A survey of the subject of network reliability is presented. Network reliability is the study of net...
This paper provides a detailed review of the state of the art in the field of network reliability an...
Sensitivity analysis of a numerical model, for instance simulating physical phenomena, is useful to ...
Abstract—In this paper, we investigate the availability modeling of computer networks with redundanc...
A central issue in the analysis of complex networks is the assessment of their robustness and vulner...
Evaluating the system reliability of a stochastic network is an important topic in the planning, des...
A central issue in the analysis of complex networks is the assessment of their robustness and vulner...
International audienceIn this paper we consider static models in network reliability, that cover a h...
Abstract:- In this paper we focus on computational aspects of network reliability importance measure...
The exact evaluation of usual reliability measures of communication networks is seriously limited be...
Sensitivity analysis is a general technique for investigating the robustness of the output of a math...
Estimating the reliability of a computer network has been a subject of great interest. It is a well ...
In reliability analysis, the goal is to determine the probability of consistent operation of a syste...
Abstract. Monte Carlo simulation offers a valuable tool for capturing the complex stochastic behavio...
Diagnostic reasoning in essence amounts to reasoning about an unobservable condition, based on indir...
A survey of the subject of network reliability is presented. Network reliability is the study of net...
This paper provides a detailed review of the state of the art in the field of network reliability an...
Sensitivity analysis of a numerical model, for instance simulating physical phenomena, is useful to ...
Abstract—In this paper, we investigate the availability modeling of computer networks with redundanc...
A central issue in the analysis of complex networks is the assessment of their robustness and vulner...
Evaluating the system reliability of a stochastic network is an important topic in the planning, des...
A central issue in the analysis of complex networks is the assessment of their robustness and vulner...