Computing System Reliability: Models and Analysis by Min Xie, Kim-Leng Poh, Yuan-Shun Dai

By Min Xie, Kim-Leng Poh, Yuan-Shun Dai

Computing structures are of starting to be value as a result of their huge use in lots of parts together with these in safety-critical structures. This e-book describes the fundamental versions and techniques to the reliability research of such platforms. an in depth overview is supplied and versions are categorised into differing kinds. a few Markov versions are prolonged to the research of a few particular computing structures equivalent to mixed software program and undefined, imperfect debugging techniques, failure correlation, multi-state structures, heterogeneous subsystems, and so on. one of many goals of the presentation is that in accordance with the sound research and ease of the techniques, using Markov types might be larger applied within the computing approach reliability.

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Majority voting configuration Majority voting systems form an important class of redundant systems. In a majority voting system, all of the components are assumed to be in operation. , Ashrafi et al. (1994). The simplest majority voting system consists of three components and a voter. The reliability block diagram for a majority voter configuration is shown in Fig. 9. This configuration is also known as a triple modular redundancy configuration, and it requires at least two good components for operation.

Moreover, repair and maintenance are two important operations in system analysis that cannot be expressed easily using a fault tree formulation. 4. Monte Carlo simulation In a Monte Carlo simulation, a reliability model is evaluated repeatedly using parameter values drawn from a specific distribution. The Monte Carlo simulation is often used to evaluate the MTBF for complex systems. Here, the following steps apply: Computing System Reliability 19 1) Simulate random numbers for each random variable needed in the simulation model.

Usually, the reliability block diagram is mainly used in a modular system that consists of many independent modules and each module can be easily represented by a reliability block. The network diagram is often used in networked system where processing nodes are connected and communicated through links, such as the distributed computing system, local/wide area networks and the wireless communication channels, etc. 3. 17 Fault tree analysis Fault tree analysis is a common tool in system safety analysis.

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