The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Future Edge Cloud and Edge Computing for Internet of Things Applications
Abstract
The Internet is evolving rapidly toward the future Internet of Things (IoT) which will potentially connect billions or even trillions of edge devices which could generate huge amount of data at a very high speed and some of the applications may require very low latency. The traditional cloud infrastructure will run into a series of difficulties due to centralized computation, storage, and networking in a small number of datacenters, and due to the relative long distance between the edge devices and the remote datacenters. To tackle this challenge, edge cloud and edge computing seem to be a promising possibility which provides resources closer to the resource-poor edge IoT devices and potentially can nurture a new IoT innovation ecosystem. Such prospect is enabled by a series of emerging technologies, including network function virtualization and software defined networking. In this survey paper, we investigate the key rationale, the state-of-the-art efforts, the key enabling technologies and research topics, and typical IoT applications benefiting from edge cloud. We aim to draw an overall picture of both ongoing research efforts and future possible research directions through comprehensive discussions.
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“In smart city surveillance systems, edge nodes are typically positioned between the monitoring devices and the cloud server [24].”
From A Survey of Video Surveillance Systems in Smart City (2023) · cites this paper as [24]
Citations
Cites
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Cited by
Sorted by citations
The Future of Healthcare Internet of Things: A Survey of Emerging Technologies
Qadri, Y. A., Nauman, A., Zikria, Y. B., Vasilakos, A. V., & Kim, S. W. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2973314 · Cited by 880
Zhang, J., & Tao, D. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3039359 · Cited by 774
Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks
Zhang, J., Hu, X., Ning, Z., Ngai, E. C. ‐., Zhou, L., Wei, J., Cheng, J. S., & Hu, B. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2786343 · Cited by 584
Toward Edge Intelligence: Multiaccess Edge Computing for 5G and Internet of Things
Liu, Y., Peng, M., Shou, G., Chen, Y., & Chen, S. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3004500 · Cited by 518
The Internet of Things: Impact and Implications for Health Care Delivery
Kelly, J. T., Campbell, K. L., Gong, E., & Scuffham, P. (2020) · Journal of Medical Internet Research · doi:10.2196/20135 · Cited by 523
Metadata
- Authors
- Pan, J., & McElhannon, J.
- Affiliations
- University of Missouri–St. Louis (US)
- ORCID
- Pan, Jianli
- Venue
- IEEE Internet of Things Journal
- Published
- 2018-02
- Volume
- 5
- Issue
- 1
- Pages
- 439-449
- ISSN
- 2327-4662 (ISSN-L)
- OpenAlex
- W2766401293
- Cited by
- 868
- References
- 17
- Citations by year
- 2026: 47 · 2025: 89 · 2024: 114 · 2023: 104 · 2022: 105 · 2021: 145 · 2020: 143 · 2019: 86 · 2018: 34
- FWCI
- 48.10
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- IEEE Internet of Things Journal (publishedVersion)
- Funders
- National Security Agency (H98230-17-1-0393, H98230-17-1-0352)
- University of Missouri System Research Board Award
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- edge-cloud computing, edge computing, Internet of Things, low latency, network function virtualization, software-defined networking, IoT applications, resource-constrained edge devices
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