Analysis of workload influence on dependability

J. F. Meyer, Lu Wei
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引用次数: 56

Abstract

The authors consider a general, analytic approach to the study of workload effects on computer system dependability, where the faults considered are transient and the dependability measure in question is the time to failure, T/sub f/. Under these conditions, workload plays two roles with opposing effects: it can help detect/correct a correctable fault, or it can cause the system to fail by activating an uncorrectable fault. As a consequence, the overall influence of workload on T/sub f/ is difficult to evaluate intuitively. To examine this in more formal terms, the authors establish a Markov renewal process model that represents the interaction among workload and fault accumulation ins systems for which fault tolerance can be characterized by fault margins. Using this model, they consider some specific examples and show how the probabilistic nature of T/sub f/ can be formulated directly in terms of parameters regarding workload, fault arrivals, and fault margins.<>
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工作量对可靠性的影响分析
作者考虑了一种通用的分析方法来研究工作负荷对计算机系统可靠性的影响,其中所考虑的故障是暂态的,所讨论的可靠性度量是故障发生时间T/sub f/。在这些条件下,工作负载扮演两个相反的角色:它可以帮助检测/纠正可纠正的错误,或者它可以通过激活不可纠正的错误导致系统失败。因此,工作负荷对T/sub / f/的总体影响难以直观评价。为了用更正式的术语来检验这一点,作者建立了一个马尔可夫更新过程模型,该模型表示系统中工作量和故障积累之间的相互作用,其中容错性可以用故障边界来表征。使用这个模型,他们考虑了一些具体的例子,并展示了如何将T/sub f/的概率性质直接表示为有关工作量、断层到达和断层边缘的参数。
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