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What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges

Gedeon, Julien ; Brandherm, Florian ; Egert, Rolf ; Grube, Tim ; Mühlhäuser, Max (2019):
What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges.
7, In: IEEE Access, pp. 152847-152878. IEEE, ISSN 2169-3536,

Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

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Item Type: Article
Origin: Secondary publication via sponsored Golden Open Access
Title: What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges
Language: English

Edge computing brings computing and storage resources closer to (mobile) end users and data sources, thus bypassing expensive and slow links to distant cloud computing infrastructures. Often leveraged opportunistically, these heterogeneous resources can be used to offload data and computations, enabling upcoming demanding applications such as augmented reality and autonomous driving. Research in this direction has addressed various challenges, from architectural concerns to runtime optimizations. As of today, however, we lack a widespread availability of edge computing—partly because it remains unclear which of the promised benefits of edge computing are relevant for what types of applications. This article provides a comprehensive snapshot of the current edge computing landscape, with a focus on the application perspective. We outline the characteristics of edge computing and its postulated benefits and drawbacks. To understand the functional composition of applications, we first define common application components that are relevant w.r.t. edge computing. We then present a classification of proposed use cases and analyze them according to their expected benefits from edge computing and which components they use. Furthermore, we illustrate existing products and industry solutions that have recently surfaced and outline future research challenges.

Journal or Publication Title: IEEE Access
Series Volume: 7
Place of Publication: Darmstadt
Publisher: IEEE
Classification DDC: 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik
Divisions: 20 Department of Computer Science > Telecooperation
Date Deposited: 15 Nov 2019 12:41
Last Modified: 13 Dec 2022 11:17
Corresponding Links:
URN: urn:nbn:de:tuda-tuprints-93022
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/9302
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