On the modeling of workload dependent memory faults

J. Dunkel
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引用次数: 14

Abstract

A modeling approach to investigating the interdependencies between memory faults and system performance is presented. Describing the program behavior by an independent reference model, the author develops a fault occurrence model that depends on workload characteristics such as task sojourn times, the number of page references, and the number of page faults. Determining the probability that a fault is detected at a page test, the author quantifies the workload required for fault handling. Using a queuing network in a stationary analysis, he evaluates the average performance decrease caused by memory faults. The interdependencies between performance and reliability quantities are described by a set of nonlinear equations. An iterative method for evaluating the model is given. The results of some experiments demonstrate that the performance decrease caused by memory error depends on system workload and operating system characteristics.<>
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基于工作负载的内存故障建模
提出了一种研究内存故障与系统性能之间相互依赖关系的建模方法。通过一个独立的参考模型描述程序行为,作者开发了一个故障发生模型,该模型依赖于工作负载特征,如任务逗留时间、页面引用数量和页面错误数量。通过确定在页面测试中检测到故障的概率,作者量化了故障处理所需的工作负载。在平稳分析中使用排队网络,他评估了由内存故障引起的平均性能下降。性能量和可靠性量之间的相互依赖关系用一组非线性方程来描述。给出了一种评估模型的迭代方法。一些实验结果表明,内存错误导致的性能下降取决于系统负载和操作系统特性。
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