A Comparative Study of Reliability-Ignorant and Reliability-Aware Energy Management Schemes Using UPPAAL-SMC

Abstract

Energy saving and high reliability are two key concerns in the design of real time systems. However, high reliability and low energy consumption are conflicting objects, and they are generally contrasted with temporal correctness. In this paper, we propose comparing reliability-ignorant and reliability-aware power management schemes with statistical model checking approach using UPPAAL-SMC. The power management schemes and the relevant components are modeled in the form of stochastic timed automata. And the analysis objectives are expressed as verification queries. With the model and queries as inputs, UPPAAL-SMC returns the probability of system failure and the expected value of energy consumption. In this analysis, we have considered three reliability-ignorant power management schemes and two reliability-aware power management schemes. Based on the comparative study, we provided guidelines for choosing the suitable scheme for a given system. One thing that should be emphasized is that our methodology is not limited to the schemes involved in this paper. The modeling and evaluating procedure can be applied to analyse other energy management schemes in practical application.

A method for reliability detection of automated guided vehicle based on timed automata

“…At the same time, the model checking method also faces the challenge of state-space combination explosion. As a model checking technology, timed automata are often used in the fields of protocol verification (Li, 2014) and system behaviour stability analysis (Shengxin et al, 2017). In recent years, model checking tools for timed automata, such as UPPAAL (David et al, 2015), have been able to detect large-scale systems by optimizing model checking analysis, which produces good performance in the modelling of the medical monitoring system (Wetselaar et al, 2020), vehicle network system (Guo et al, 2019), system linkage control (Meng et al, 2021) and so on.…”