Reliability: probabilistic models and statistical methods
Reliability: probabilistic models and statistical methods
Network reliability importance measures: combinatorics and Monte Carlo based computations
ACS'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Computer Science - Volume 7
Hi-index | 0.00 |
The degree in which a system is operational in a given horizon of time is the key indicator of service quality perceived by business users. The availability of critical systems is a function of the system reliability, maintainability and accessibility of support resources. Based on a comparative analysis, selecting an adequate method of availability assessment requires typical structures identification, reliability indices characterization and evaluation of non-reliability impact of the parts on system availability. Frequently used, binomial method leads to optimistic results due to bivalent states of components (operating/fault). For serial or parallel reliability structures, a realistic evaluation of system availability is obtained by applying polynomial or direct analysis based on reliability block diagram. A complex structure implies a successive assessment of structural components allowed by Monte-Carlo simulation providing accurate indices values. The paper presents a method of availability evaluation using Monte-Carlo simulation techniques which allows a comparative analysis of component impact on the system availability.