Cited by 874IoT and Edge/Fog ComputingSoftware-Defined Networks and 5GEnergy Efficiency in Computing

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Future Edge Cloud and Edge Computing for Internet of Things Applications

Pan, Jianli, McElhannon, James·2018·IEEE Internet of Things Journal

DOI 10.1109/jiot.2017.2767608

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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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Resource provisioning for highly reliable and ultra-responsive edge applications
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Maia, A. M., Vieira, D., Ghamri-Doudane, Y. M., Rodrigues, C. A. P., Pereira, M. B., & de Castro, M. F. (2024) · Future Generation Computer Systems · doi:10.1016/j.future.2024.107631 · Cited by 6

Authors: Pan, J., & McElhannon, J.
Affiliations: University of Missouri–St. Louis (US)
ORCID: Pan, Jianli
Venue: IEEE Internet of Things Journal
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2018-02
Volume: 5
Issue: 1
Pages: 439-449
ISSN: 2327-4662 (ISSN-L)
DOI: 10.1109/jiot.2017.2767608
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
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)
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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Future Edge Cloud and Edge Computing for Internet of Things Applications

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