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Mathematical Problems in Engineering
Volume 2015, Article ID 815230, 12 pages
Research Article

A Formal Approach for RT-DVS Algorithms Evaluation Based on Statistical Model Checking

College of Computer Science, Sichuan University, Chengdu 610065, China

Received 1 June 2015; Accepted 12 July 2015

Academic Editor: Xiaoyu Song

Copyright © 2015 Shengxin Dai et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Energy saving is a crucial concern in embedded real time systems. Many RT-DVS algorithms have been proposed to save energy while preserving deadline guarantees. This paper presents a novel approach to evaluate RT-DVS algorithms using statistical model checking. A scalable framework is proposed for RT-DVS algorithms evaluation, in which the relevant components are modeled as stochastic timed automata, and the evaluation metrics including utilization bound, energy efficiency, battery awareness, and temperature awareness are expressed as statistical queries. Evaluation of these metrics is performed by verifying the corresponding queries using UPPAAL-SMC and analyzing the statistical information provided by the tool. We demonstrate the applicability of our framework via a case study of five classical RT-DVS algorithms.