1995
DOI: 10.1109/24.406575
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Reliability modeling of hardware/software systems

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Cited by 58 publications
(27 citation statements)
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“…[22] has studied the exponential, Weibull, and Gamma models of disk lifetime distributions and concluded that exponential distributions are sufficient. The failure distribution of a cluster node, which incorporates both hardware and software failures, can also be reasonably modeled as exponential distribution [61,54]. This assumption might not be realistic in some situations, such as power surges, burst of I/O tasks, etc.…”
Section: Reliability and Availability Analysismentioning
confidence: 99%
“…[22] has studied the exponential, Weibull, and Gamma models of disk lifetime distributions and concluded that exponential distributions are sufficient. The failure distribution of a cluster node, which incorporates both hardware and software failures, can also be reasonably modeled as exponential distribution [61,54]. This assumption might not be realistic in some situations, such as power surges, burst of I/O tasks, etc.…”
Section: Reliability and Availability Analysismentioning
confidence: 99%
“…or dependability requirements such as availability or maintainability. For that, a few researchers including Friedman and Tran [1] and Welke et al [2] tried to develop a combined reliability model for the whole system including both h/w and s/w. Lie et al [3] developed a model for availability analysis of distributed s/w and h/w components.…”
Section: Introductionmentioning
confidence: 99%
“…However they all model the reliability of systems rather than that of applications to predict the failure rates of the systems. For instance, Thanakornworakij et al [19] provide a model for HPC systems while Welke et al [22] establish generic models based on Markov modelling that are applicable for hardware or software systems having wellknown architectures such as simplex and triplex modular redundant architectures. However, none of these models can be utilized to achieve application-level reliability with selective redundancy under the failure rates of both SDCs and fail-stop errors.…”
Section: Related Workmentioning
confidence: 99%
“…Research on reliability modelling, such as [19,22], has been conducted for various types of computing systems. However they all model the reliability of systems rather than that of applications to predict the failure rates of the systems.…”
Section: Related Workmentioning
confidence: 99%