Open AccessAn energy-efficient failure detector for vehicular cloud computing
Author(s) -
Jiaxi Liu,
Zhibo Wu,
Jian Dong,
Jin Wu,
Wen Ding
Publication year - 2018
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0191577
Subject(s) - unavailability , cloud computing , computer science , battery (electricity) , energy consumption , detector , real time computing , reliability engineering , power (physics) , electrical engineering , telecommunications , engineering , operating system , physics , quantum mechanics
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.