What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges
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, enab...
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doaj-439bf0a6d74849d29f5d8e5f8cc089752021-03-29T23:03:40ZengIEEEIEEE Access2169-35362019-01-01715284715287810.1109/ACCESS.2019.29483998877785What the Fog? Edge Computing Revisited: Promises, Applications and Future ChallengesJulien Gedeon0https://orcid.org/0000-0002-0251-2056Florian Brandherm1Rolf Egert2Tim Grube3Max Muhlhauser4https://orcid.org/0000-0003-4713-5327Department of Computer Science, Technische Universität Darmstadt, Darmstadt, GermanyDepartment of Computer Science, Technische Universität Darmstadt, Darmstadt, GermanyDepartment of Computer Science, Technische Universität Darmstadt, Darmstadt, GermanyDepartment of Computer Science, Technische Universität Darmstadt, Darmstadt, GermanyDepartment of Computer Science, Technische Universität Darmstadt, Darmstadt, GermanyEdge 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.https://ieeexplore.ieee.org/document/8877785/Edge computingheterogeneous networksnext generation networking mobile applicationsInternet of Thingsubiquitous computing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Julien Gedeon Florian Brandherm Rolf Egert Tim Grube Max Muhlhauser |
spellingShingle |
Julien Gedeon Florian Brandherm Rolf Egert Tim Grube Max Muhlhauser What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges IEEE Access Edge computing heterogeneous networks next generation networking mobile applications Internet of Things ubiquitous computing |
author_facet |
Julien Gedeon Florian Brandherm Rolf Egert Tim Grube Max Muhlhauser |
author_sort |
Julien Gedeon |
title |
What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges |
title_short |
What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges |
title_full |
What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges |
title_fullStr |
What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges |
title_full_unstemmed |
What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges |
title_sort |
what the fog? edge computing revisited: promises, applications and future challenges |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
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. |
topic |
Edge computing heterogeneous networks next generation networking mobile applications Internet of Things ubiquitous computing |
url |
https://ieeexplore.ieee.org/document/8877785/ |
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