Synchronizing shared abstract types
Synchronizing shared abstract types
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同步共享抽象类型
DOI：
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发表时间：
1984
期刊：
影响因子：
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通讯作者：
A. Spector
中科院分区：
文献类型：
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作者：
P. Schwarz;A. Spector
本文介绍并分析了几种数字计算机系统的瞬态误差实验数据。这是第一个大规模的公共研究的统计分布的瞬态误差。收集数据的系统是DEC PDP-10系列计算机、Cm* 多处理机和C.vmp容错微处理机。统计检验表明，瞬态错误遵循递减的危险率分布。这与可靠性建模中使用的恒定危险率（指数分布）的标准假设不同，并且需要更复杂的模型才能获得准确的结果。常见的容错冗余结构模型的开发使用的Weibul！分布，具有随时间变化的风险率。分析模型和仿真模型都用于分析基于威布尔的瞬时误差模型预测的可靠性与基于指数的模型预测的可靠性之间的差异。分析表明，基于指数分布的模型与基于递减风险率威布尔分布的模型之间存在显著差异。可靠性差异范围从-0.10到+0.20，并且在与测量系统行为等效的Weibull参数的使命时间改进中的系数大于2.0，这在模型结果中可以看到。系统设计人员应该意识到这些差异。基于数据分析的瞬态误差可靠性模型
Experimental data on transient errors from several digital computer systems is presented and analyzed. This is the first large scale public study on the statistical distribution of transient errors. The systems for which data has been collected are the DEC PDP-10 scries computers, the Cm* multiprocessor, and the C.vmp fault tolerant microprocessor. Statistical tests indicate that transient errors follow a decreasing hazard rate distribution. This is at variance with the standard assumption of constant hazard rates (exponential distribution) used in reliability modeling, and requires models of greater complexity for accurate results. Models of common fault tolerant redundant structures are developed using the Weibul! distribution, which has a time-varying hazard rate. Both analytical and simulation models arc used to analyze die differences between the reliabilities predicted by Weibull based transient error models and those predicted by exponential based models. The analysis indicates a significant difference between the models based on the exponential distribution and those based on the decreasing hazard rate Weibull distribution. Reliability differences ranging from -0.10 to +0.20 and factors greater than 2.0 in Mission Time Improvement for Weibull parameters equivalent to measured system behavior arc seen in the model results. System designers should be aware of these differences. Transient Error Reliability Models Based on Data Analysis