TU Darmstadt / ULB / TUprints

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.
In: IEEE Access, 2019, 7
Article, Secondary publication, Publisher's Version

[img]
Preview
Text
Gedeon.pdf
Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

Download (5MB) | Preview
Item Type: Article
Type of entry: Secondary publication
Title: What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges
Language: English
Date: 2019
Place of Publication: Darmstadt
Year of primary publication: 2019
Publisher: IEEE
Journal or Publication Title: IEEE Access
Volume of the journal: 7
Corresponding Links:
Origin: Secondary publication via sponsored Golden Open Access
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.

Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-93022
Classification DDC: 000 Generalities, computers, information > 004 Computer science
Divisions: 20 Department of Computer Science > Telecooperation
Date Deposited: 15 Nov 2019 12:41
Last Modified: 24 May 2023 09:50
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/9302
PPN:
Export:
Actions (login required)
View Item View Item