Liu Jiaxi, Wu Zhibo, Dong Jian, Wu Jin, Wen Dongxin
School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China.
PLoS One. 2018 Jan 19;13(1):e0191577. doi: 10.1371/journal.pone.0191577. eCollection 2018.
Failure detectors are one of the fundamental components for maintaining the high availability of vehicular cloud computing. In vehicular cloud computing, lots of RSUs are deployed along the road to improve the connectivity. Many of them are equipped with solar battery due to the unavailability or excess expense of wired electrical power. So it is important to reduce the battery consumption of RSU. However, the existing failure detection algorithms are not designed to save battery consumption RSU. To solve this problem, a new energy-efficient failure detector 2E-FD has been proposed specifically for vehicular cloud computing. 2E-FD does not only provide acceptable failure detection service, but also saves the battery consumption of RSU. Through the comparative experiments, the results show that our failure detector has better performance in terms of speed, accuracy and battery consumption.
故障检测器是维持车载云计算高可用性的基本组件之一。在车载云计算中，大量的路边单元（RSU）沿道路部署以改善连接性。由于有线电力不可用或成本过高，许多RSU配备了太阳能电池。因此，降低RSU的电池消耗非常重要。然而，现有的故障检测算法并非为节省RSU的电池消耗而设计。为了解决这个问题，专门针对车载云计算提出了一种新的节能故障检测器2E-FD。2E-FD不仅提供可接受的故障检测服务，还节省了RSU的电池消耗。通过对比实验，结果表明我们的故障检测器在速度、准确性和电池消耗方面具有更好的性能。
