| 引用本文: | 刘家希,董剑,吴智博,吴晋,温东新,赵耀.一种车辆云计算中共享失效检测器[J].哈尔滨工业大学学报,2018,50(5):24.DOI:10.11918/j.issn.0367-6234.201708010 |
| LIU Jiaxi,DONG Jian,WU Zhibo,WU Jin,WEN Dongxin,ZHAO Yao.A cooperative failure detector in vehicular cloud computing[J].Journal of Harbin Institute of Technology,2018,50(5):24.DOI:10.11918/j.issn.0367-6234.201708010 |
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| 摘要: |
| 为更好地解决车辆云计算中车辆的高度动态性对失效检测性能的影响，提出了一种适用于车辆云计算环境的基于检测结果共享机制的失效检测器.首先，对车辆云计算的系统架构进行了分析，发现车辆云计算系统具有明显的层次结构，而且可以利用路侧单元对车辆节点进行分组.在此基础之上，引进检测结果共享机制，提出针对车辆云计算环境的共享失效检测器VC-FD.然后，构建了可以对所提出的失效检测器进行定量分析的共享失效检测模型，该模型主要针对检测时间、平均错误发生概率以及检测负载三个失效检测服务质量指标进行评价.最后，在仿真环境下比较和分析了所提出的共享失效检测器与非共享失效检测器的性能.实验结果表明，该失效检测器在保证检测准确性的前提下，通过增加有限的检测负载能够明显地改善系统中节点失效检测时间.因此，提出的基于检测结果共享机制的失效检测器VC-FD能够准确、快速的发现车辆云计算中的节点失效，有效地降低车辆高度动态性对失效检测性能的影响.
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| 关键词: 车辆云计算 系统架构 路侧单元 服务质量 共享失效检测 |
| DOI：10.11918/j.issn.0367-6234.201708010 |
| 分类号:TP302.8 |
| 文献标识码:A |
| 基金项目:国家自然科学基金(61100029和61370085) |
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| A cooperative failure detector in vehicular cloud computing |
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LIU Jiaxi,DONG Jian,WU Zhibo,WU Jin,WEN Dongxin,ZHAO Yao
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(Harbin Institute of Technology, Fault-tolerant and Mobile Computing Research Center, Harbin 150001, China)
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| Abstract: |
| To solve the problem that the performance of failure detection is effected by mobility of vehicular cloud computing, a new failure detector (VC-FD) based on architecture of vehicular cloud computing was proposed. We found that vehicular cloud computing has a hierarchical structure and the vehicles can be grouped through Roadside Unit (RSU), according to the architecture analysis of vehicular cloud computing. On this basis, the sharing mechanism of detection results is introduced, and the new failure detector VC-FD for vehicular cloud computing was proposed. Then, the model of cooperative failure detection was proposed to evaluate the detection time, mistake rate and detection overhead. The performance of the VC-FD and non shared failure detector was compared in a simulation environment. The experimental results show that the VC-FD can ensure the accuracy, and significantly improve the node failure detection time by increasing limited detection overhead. Thus, the VC-FD can accurately and quickly find out the node failures in vehicular cloud computing, and effectively reduce the influence of vehicular mobility on the performance of failure detection.
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| Key words: vehicular cloud computing architecture RSU quality of service cooperative failure detection |
