Markov reward approach to performability and reliability analysis

Kishor S. Trivedi, M. Malhotra, R. M. Fricks
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引用次数: 31

Abstract

Performability and reliability modeling techniques and tools have been an area of intensive research activity in the last ten years. We present a unified mathematical framework for performability and reliability models in terms of Markov reward models. The framework presented is not the only one available for performability analysis, but it is the most commonly used one. To complete our exposition, we describe two modeling software packages: SHARPE (Symbolic Hierarchical Automated Reliability/Performance Evaluator) and SPNP (Stochastic Petri Net Package).<>
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性能和可靠性分析的马尔可夫奖励方法
在过去的十年中,性能和可靠性建模技术和工具一直是一个深入研究的领域。我们提出了一个统一的数学框架的性能和可靠性模型的马尔可夫奖励模型。本文提供的框架并不是可用于性能分析的唯一框架,但它是最常用的框架。为了完成我们的阐述,我们描述了两个建模软件包:SHARPE(符号分层自动可靠性/性能评估器)和SPNP(随机Petri网包)。
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