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首页> 外文期刊>IEEE Transactions on Software Engineering >FINE: A fault injection and monitoring environment for tracing the UNIX system behavior under faults
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FINE: A fault injection and monitoring environment for tracing the UNIX system behavior under faults

机译:FINE:故障注入和监视环境,用于跟踪故障下的UNIX系统行为

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摘要

The authors present a fault injection and monitoring environment (FINE) as a tool to study fault propagation in the UNIX kernel. FINE injects hardware-induced software errors and software faults into the UNIX kernel and traces the execution flow and key variables of the kernel. FINE consists of a fault injector, a software monitor, a workload generator, a controller, and several analysis utilities. Experiments on SunOS 4.1.2 are conducted by applying FINE to investigate fault propagation and to evaluate the impact of various types of faults. Fault propagation models are built for both hardware and software faults. Transient Markov reward analysis is performed to evaluate the loss of performance due to an injected fault. Experimental results show that memory and software faults usually have a very long latency, while bus and CPU faults tend to crash the system immediately. About half of the detected errors are data faults, which are detected when the system is tries to access an unauthorized memory location. Only about 8% of faults propagate to other UNIX subsystems. Markov reward analysis shows that the performance loss incurred by bus faults and CPU faults is much higher than that incurred by software and memory faults. Among software faults, the impact of pointer faults is higher than that of nonpointer faults.
机译:作者提出了一种故障注入和监视环境(FINE),作为研究UNIX内核中故障传播的工具。 FINE将硬件引起的软件错误和软件故障注入UNIX内核,并跟踪内核的执行流和关键变量。 FINE由故障注入器,软件监视器,工作负载生成器,控制器和几个分析实用程序组成。通过应用FINE在SunOS 4.1.2上进行实验,以调查故障传播并评估各种类型的故障的影响。故障传播模型是针对硬件和软件故障构建的。进行瞬态马尔可夫奖赏分析以评估由于注入故障导致的性能损失。实验结果表明,内存和软件故障通常具有很长的等待时间,而总线和CPU故障往往会立即使系统崩溃。检测到的错误中大约有一半是数据错误,当系统尝试访问未授权的内存位置时会检测到。只有大约8%的故障传播到其他UNIX子系统。马尔可夫奖励分析表明,总线故障和CPU故障导致的性能损失比软件和内存故障引起的性能损失高得多。在软件故障中,指针故障的影响大于非指针故障的影响。

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