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An energy-efficient failure detector for vehicular cloud computing

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 ex...

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Detalles Bibliográficos
Autores principales: Liu, Jiaxi, Wu, Zhibo, Dong, Jian, Wu, Jin, Wen, Dongxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774832/
https://www.ncbi.nlm.nih.gov/pubmed/29352282
http://dx.doi.org/10.1371/journal.pone.0191577
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author Liu, Jiaxi
Wu, Zhibo
Dong, Jian
Wu, Jin
Wen, Dongxin
author_facet Liu, Jiaxi
Wu, Zhibo
Dong, Jian
Wu, Jin
Wen, Dongxin
author_sort Liu, Jiaxi
collection PubMed
description 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.
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spelling pubmed-57748322018-02-05 An energy-efficient failure detector for vehicular cloud computing Liu, Jiaxi Wu, Zhibo Dong, Jian Wu, Jin Wen, Dongxin PLoS One Research Article 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. Public Library of Science 2018-01-19 /pmc/articles/PMC5774832/ /pubmed/29352282 http://dx.doi.org/10.1371/journal.pone.0191577 Text en © 2018 Liu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Liu, Jiaxi
Wu, Zhibo
Dong, Jian
Wu, Jin
Wen, Dongxin
An energy-efficient failure detector for vehicular cloud computing
title An energy-efficient failure detector for vehicular cloud computing
title_full An energy-efficient failure detector for vehicular cloud computing
title_fullStr An energy-efficient failure detector for vehicular cloud computing
title_full_unstemmed An energy-efficient failure detector for vehicular cloud computing
title_short An energy-efficient failure detector for vehicular cloud computing
title_sort energy-efficient failure detector for vehicular cloud computing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5774832/
https://www.ncbi.nlm.nih.gov/pubmed/29352282
http://dx.doi.org/10.1371/journal.pone.0191577
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