Vehicular fog computing: Vision and challenges

Yu Xiao; Chao Zhu

doi:10.1109/PERCOMW.2017.7917508

Vehicular fog computing: Vision and challenges

Yu Xiao, Chao Zhu

Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

123 Citations (Scopus)

Abstract

The emerging vehicular applications demand for a lot more computing and communication capacity to excel in their compute-intensive and latency-sensitive tasks. Fog computing, which focuses on moving computing resources to the edge of networks, complements cloud computing by solving the latency constraints and reducing ingress traffic to the cloud. This paper presents a visionary concept on vehicular fog computing that turns connected vehicles into mobile fog nodes and utilises mobility of vehicles for providing cost-effective and on-demand fog computing for vehicular applications. Besides system design, this paper also discusses the remained technical challenges.

Original language	English
Title of host publication	2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	6-9
Number of pages	4
ISBN (Electronic)	9781509043385
DOIs	https://doi.org/10.1109/PERCOMW.2017.7917508
Publication status	Published - 2 May 2017
Externally published	Yes
Event	2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017 - Kona, Big Island, United States Duration: 13 Mar 2017 → 17 Mar 2017

Publication series

Name	2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017

Conference

Conference	2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017
Country/Territory	United States
City	Kona, Big Island
Period	13/03/17 → 17/03/17

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10.1109/PERCOMW.2017.7917508

Cite this

Xiao, Y., & Zhu, C. (2017). Vehicular fog computing: Vision and challenges. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017 (pp. 6-9). Article 7917508 (2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PERCOMW.2017.7917508

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title = "Vehicular fog computing: Vision and challenges",

abstract = "The emerging vehicular applications demand for a lot more computing and communication capacity to excel in their compute-intensive and latency-sensitive tasks. Fog computing, which focuses on moving computing resources to the edge of networks, complements cloud computing by solving the latency constraints and reducing ingress traffic to the cloud. This paper presents a visionary concept on vehicular fog computing that turns connected vehicles into mobile fog nodes and utilises mobility of vehicles for providing cost-effective and on-demand fog computing for vehicular applications. Besides system design, this paper also discusses the remained technical challenges.",

author = "Yu Xiao and Chao Zhu",

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year = "2017",

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doi = "10.1109/PERCOMW.2017.7917508",

language = "English",

series = "2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017",

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Xiao, Y & Zhu, C 2017, Vehicular fog computing: Vision and challenges. in 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017., 7917508, 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017, Institute of Electrical and Electronics Engineers Inc., pp. 6-9, 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017, Kona, Big Island, United States, 13/03/17. https://doi.org/10.1109/PERCOMW.2017.7917508

Vehicular fog computing: Vision and challenges. / Xiao, Yu; Zhu, Chao.
2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 6-9 7917508 (2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Xiao Y, Zhu C. Vehicular fog computing: Vision and challenges. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 6-9. 7917508. (2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017). doi: 10.1109/PERCOMW.2017.7917508

Vehicular fog computing: Vision and challenges

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