车载电子系统中场景感知的实时性分析的优化

A Scenario-Aware Method to Optimize the Real-Time Performance Analysis for Automotive Electronic Systems

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摘要提出基于场景的车载电子系统实时性分析,并设计了一种基于日志信息的自动场景拆分算法,通过以场景局部的最坏情况替代系统全局的最坏情况作为实时性分析的基础来优化实时性分析的结果,以提高系统的可扩展性和降低系统成本.仿真实验证明了该方法的有效性. A scenario-based real-time analysis of AES was introduced and a log-based automatic scenario decomposing algorithm designed by replacing the global worst case with the local worst case as the basis for optimal real-time analysis to enhance the system＇s extensibility and decrease its cost. The simulation result has verified the effectiveness of this approach.

作者谢勇陈旭辉许华荣王晓栋

机构地区厦门理工学院计算机与信息工程学院

出处《厦门理工学院学报》 2015年第3期8-14,共7页 Journal of Xiamen University of Technology

基金国家自然科学基金项目(61173036) 厦门理工学院高层次人才项目(YKJ13024R) 厦门理工学院国家自然科学基金预研项目(XYK201437) 厦门市科技计划高校创新项目(3502Z20131158 3502Z20133033)

关键词车载电子系统场景拆分实时性优化 automotive electronic system scneario decomposing real-time optimization

分类号 U463.6 [机械工程—车辆工程]

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车载电子系统中场景感知的实时性分析的优化

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