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Practical Studies on Evaluation of Systems' Dependability Growth

机译:系统可靠性增长评估的实践研究

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摘要

Systems' Dependability has to be evaluated by unavailable time, which corresponds to service-stop time of users operation. Generally speaking, users want systems, which do not stop once they start the operation. We should design systems to automatically retry and correct errors to prevent service-stops. To meet such a high requirement, engineers should adopt redundancy and a multiplexing design philosophy to enhance systems' dependability. Once unmatched trouble has occurred on a multiplex systems, the systems must automatically make the safest choice (fail-safe), which is a harmless selection, and has been decided by the majority to the best, and it can avoid the service-stop from the results of fault. The results are evaluated by the decrease of total systems' unavailability. As for the product assurance operation, we adapted the graphical analysis with the time-serial plot on the log-log section paper; namely "dynamic evaluation" based on "logarithmic linear model". We can find the improvements and the reduction parameters from its slope graphically. This method is effective for improving operation dependability. This data is not only applicable to product assurance, but also useful for quotations in various fields on production planning and scheduling, for example man-hour planning, cost saving problem etc. From many observations, we know the "logarithmic linear model" fits, and is suited to analysis and predicts user satisfaction. When we discuss systems' dependability, systems' improvement and enhancement are very important. In this paper we will report several examples of the application to huge real-time running systems.
机译:系统的可靠性必须通过不可用的时间来评估,该时间与用户操作的服务停止时间相对应。一般而言,用户希望系统在启动操作后不会停止。我们应该设计系统以自动重试并纠正错误,以防止服务中断。为了满足如此高的要求,工程师应采用冗余和多路复用设计理念来增强系统的可靠性。一旦在Multiplex系统上发生了无与伦比的故障,则系统必须自动做出最安全的选择(故障安全),这是无害的选择,并且已由大多数人做出了最佳决定,并且可以避免出现服务中断故障的结果。通过减少整个系统的不可用性来评估结果。对于产品保证操作,我们将图形分析与对数日志部分的时间序列图相适应;即基于“对数线性模型”的“动态评估”。我们可以通过图形的斜率找到改进和减少的参数。该方法对于提高操作可靠性是有效的。这些数据不仅适用于产品保证,而且对于生产计划和调度等各个领域的报价也非常有用,例如工时计划,成本节省问题等。从许多观察中,我们知道“对数线性模型”适合并适合分析并预测用户满意度。当我们讨论系统的可靠性时,系统的改进和增强非常重要。在本文中,我们将报告该应用程序在大型实时运行系统中的几个示例。

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