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An Easy-to-Use, Efficient Tool-Chain to Analyze the Availability of Telecommunication Equipment

机译:一个易于使用的高效工具链,可分析电信设备的可用性

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摘要

The tool OpenSESAME offers an easy-to-use modeling framework which enables realistic availability and reliability analysis of fault-tolerant systems. Our symbolic engine, which is based on an extension of binary decision diagrams (BDDs), is capable of analyzing Markov reward models consisting of more than 10~8 system states. In this paper, we introduce a tool chain where OpenSESAME is employed for specifying models of fault-tolerant systems, and at the back end our symbolic engine is employed for carrying out numerical Markov reward analysis. For illustrating the applicability of this approach, we analyze a model of a fault-tolerant telecommunication service system with N redundant modules, where the system is available as long as at least K modules are available. Based on this model, it is shown, that the suggested tool chain has more modeling power than traditional combinatorial methods, e.g. simple reliability block diagrams or fault trees, is still easy-to-use if compared to other high-level model description techniques, and allows the analysis of complex system models where other tools fail.
机译:OpenSESAME工具提供了易于使用的建模框架,可对容错系统进行现实的可用性和可靠性分析。我们的符号引擎基于二进制决策图(BDD)的扩展,能够分析包含超过10〜8个系统状态的马尔可夫奖励模型。在本文中,我们介绍了一种工具链,其中使用OpenSESAME来指定容错系统的模型,并在后端使用我们的符号引擎来进行数值马尔可夫奖赏分析。为了说明这种方法的适用性,我们分析了具有N个冗余模块的容错电信服务系统的模型,只要至少有K个模块可用,该系统就可以使用。根据该模型可以看出,所建议的工具链比传统的组合方法(例如:简单的可靠性框图或故障树,与其他高级模型描述技术相比,仍然易于使用,并且可以分析其他工具无法使用的复杂系统模型。

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