Edge computing technologies for Internet of Things: a primer

By Y. Ai, Mugen Peng, Kecheng Zhang. Digit. Commun. Networks, 2017

498 citations recorded by the source corpus.

Abstract With the rapid development of mobile internet and Internet of Things applications, the conventional centralized cloud computing is encountering severe challenges, such as high latency, low Spectral Efficiency (SE), and non-adaptive machine type of communication. Motivated to solve these challenges, a new technology is driving a trend that shifts the function of centralized cloud computing to edge devices of networks. Several edge computing technologies originating from different backgrounds to decrease latency, improve SE, and support the massive machine type of communication have been emerging. This paper comprehensively presents a tutorial on three typical edge computing technologies, namely mobile edge computing, cloudlets, and fog computing. In particular, the standardization efforts, principles, architectures, and applications of these three technologies are summarized and compared. From the viewpoint of radio access network, the differences between mobile edge computing and fog computing are highlighted, and the characteristics of fog computing-based radio access network are discussed. Finally, open issues and future research directions are identified as well.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/952d4d7515cc878a9aaee1fdd22779dc3c28b54c

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Citations in the corpus

The Future of Healthcare Internet of Things: A Survey of Emerging Technologies (2020, background): “Therefore, to address these challenges, edge computing enables a faster response rate along with efﬁcient usage bandwidth and power source [136].”
Usage impact on data center electricity needs: A system dynamic forecasting model (2021, background): “During the upcoming decade, we expect to see a sharp rise in the number of connected devices, due to Industry 4.0 IoT developments [40].”
An Overview of Service Placement Problem in Fog and Edge Computing (2020, unknown): “Computing: servers, PCs, cloudlets [36, 37], and so on.”
Coded Computing for Federated Learning at the Edge (2020, background): “We focus on the implementation of FL in multi-access edge computing (MEC) platforms (Guo et al., 2018; Shahzadi et al., 2017; Ndikumana et al., 2019; Ai et al., 2018) that enable low-latency, efficient and cloud like computing capabilities close to the client traffic.”
Fog Computing and the Internet of Things: A Review (2018, background): “Sending all these data to the cloud requires excessively high network bandwidth [5].”
Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, unknown): “All of these three terms used in the literature refer to edge computing [24], [38], [56].”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, unknown): “The tutorial in [20] presented three main edge computing concepts: MEC, cloudlet, and fog computing, from the viewpoints of standardization, principles, architectures, and application.”