Key Advances in Pervasive Edge Computing for Industrial Internet of Things in 5G and Beyond
Arun Narayanan,Arthur Sousa de Sena,Daniel Gutierrez-Rojas,Dick Carrillo Melgarejo,Hafiz Majid Hussain,Mehar Ullah,Suzan Bayhan,Pedro H. J. Nardelli +7 more
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TLDR
This article surveys emerging technologies related to pervasive edge computing for industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond communication networks and reinforces the perspective that the PEC paradigm is an extremely suitable and important deployment model for industrial communication networks.Abstract:
This article surveys emerging technologies related to pervasive edge computing (PEC) for industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond communication networks. PEC encompasses all devices that are capable of performing computational tasks locally, including those at the edge of the core network (edge servers co-located with 5G base stations) and in the radio access network (sensors, actuators, etc.). The main advantages of this paradigm are core network offloading (and benefits therefrom) and low latency for delay-sensitive applications (e.g., automatic control). We have reviewed the state-of-the-art in the PEC paradigm and its applications to the IIoT domain, which have been enabled by the recent developments in 5G technology. We have classified and described three important research areas related to PEC—distributed artificial intelligence methods, energy efficiency, and cyber security. We have also identified the main open challenges that must be solved to have a scalable PEC-based IIoT network that operates efficiently under different conditions. By explaining the applications, challenges, and opportunities, our paper reinforces the perspective that the PEC paradigm is an extremely suitable and important deployment model for industrial communication networks, considering the modern trend toward private industrial 5G networks with local operations and flexible management.read more
Citations
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References
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Journal ArticleDOI
Edge Computing: Vision and Challenges
TL;DR: The definition of edge computing is introduced, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge Computing.
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Federated Machine Learning: Concept and Applications
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