Evaluation of A Resilience Embedded System Using Probabilistic Model-Checking

Ling Fang
(National Institute of Advanced Industrial Science and Technology, Japan)
Yoriyuki Yamagata
(National Institute of Advanced Industrial Science and Technology, Japan)
Yutaka Oiwa
(National Institute of Advanced Industrial Science and Technology, Japan)

If a Micro Processor Unit (MPU) receives an external electric signal as noise, the system function will freeze or malfunction easily. A new resilience strategy is implemented in order to reset the MPU automatically and stop the MPU from freezing or malfunctioning. The technique is useful for embedded systems which work in non-human environments. However, evaluating resilience strategies is difficult because their effectiveness depends on numerous, complex, interacting factors.

In this paper, we use probabilistic model checking to evaluate the embedded systems installed with the above mentioned new resilience strategy. Qualitative evaluations are implemented with 6 PCTL formulas, and quantitative evaluations use two kinds of evaluation. One is system failure reduction, and the other is ADT (Average Down Time), the industry standard. Our work demonstrates the benefits brought by the resilience strategy. Experimental results indicate that our evaluation is cost-effective and reliable.

In Jun Pang and Yang Liu: Proceedings Third International Workshop on Engineering Safety and Security Systems (ESSS 2014), Singapore, Singapore, 13 May 2014, Electronic Proceedings in Theoretical Computer Science 150, pp. 35–49.
Published: 3rd May 2014.

ArXived at: http://dx.doi.org/10.4204/EPTCS.150.4 bibtex PDF
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