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Cooperative Fog Computing for Dealing with Big Data in the Internet of Vehicles: Architecture and Hierarchical Resource Management
Abstract
As vehicle applications, mobile devices and the Internet of Things are growing fast, and developing an efficient architecture to deal with the big data in the Internet of Vehicles (IoV) has been an important concern for the future smart city. To overcome the inherent defect of centralized data processing in cloud computing, fog computing has been proposed by offloading computation tasks to local fog servers (LFSs). By considering factors like latency, mobility, localization, and scalability, this article proposes a regional cooperative fog-computing-based intelligent vehicular network (CFC-IoV) architecture for dealing with big IoV data in the smart city. Possible services for IoV applications are discussed, including mobility control, multi-source data acquisition, distributed computation and storage, and multi-path data transmission. A hierarchical model with intra-fog and inter-fog resource management is presented, and energy efficiency and packet dropping rates of LFSs in CFC-IoV are optimized.
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Cited by
All one needs to know about fog computing and related edge computing paradigms: A complete survey
Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., Kong, J., & Jue, J. P. (2019) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2019.02.009 · Cited by 1,368
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions
Naha, R. K., Garg, S., Georgakopoulos, D., Jayaraman, P. P., Gao, L., Xiang, Y., & Ranjan, R. (2018) · IEEE Access · doi:10.1109/access.2018.2866491 · Cited by 565
Offloading in Internet of Vehicles: A Fog-Enabled Real-Time Traffic Management System
Wang, X., Ning, Z., & Wang, L. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2816590 · Cited by 398
Zhang, Z., Zhang, W., & Tseng, F.-H. (2019) · IEEE Network · doi:10.1109/mnet.2018.1800172 · Cited by 375
Self-citationResource management approaches in fog computing: a comprehensive review
Ghobaei-Arani, M., Souri, A., & Rahmanian, A. A. (2020) · Journal of Grid Computing · doi:10.1007/s10723-019-09491-1 · Cited by 365
Metadata
- Authors
- Zhang, W., Zhang, Z., & Chao, H.-C.
- Venue
- IEEE Communications Magazine
- Published
- 2017-12
- Volume
- 55
- Issue
- 12
- Pages
- 60-67
- ISSN
- 0163-6804 (ISSN-L)
- OpenAlex
- W2775827109
- Cited by
- 235
- References
- 0
- FWCI
- 22.20
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhang, W., Zhang, Z., & Chao, H.-C. (2017). Cooperative Fog Computing for Dealing with Big Data in the Internet of Vehicles: Architecture and Hierarchical Resource Management. IEEE Communications Magazine. https://doi.org/10.1109/mcom.2017.1700208
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