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

Gedeon, Julien and Brandherm, Florian and Egert, Rolf and Grube, Tim and Mühlhäuser, Max (2019):
What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges.
7, In: IEEE Access, IEEE, pp. 152847-152878, ISSN 2169-3536,
DOI: 10.1109/ACCESS.2019.2948399,
Secondary publishing via sponsored Golden Open Access, [Article]

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

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
Volume: 7
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: 21 Jan 2020 15:13
DOI: 10.1109/ACCESS.2019.2948399
URN: urn:nbn:de:tuda-tuprints-93022
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/9302
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