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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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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. |
format | Online Article Text |
id | pubmed-5774832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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