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, 7
doi: 10.1109/ACCESS.2019.2948399
Article, Bibliographie
This is the latest version of this item.
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.
| Item Type: | Article |
|---|---|
| Erschienen: | 2019 |
| Creators: | Gedeon, Julien ; Brandherm, Florian ; Egert, Rolf ; Grube, Tim ; Mühlhäuser, Max |
| Type of entry: | Bibliographie |
| Title: | What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges |
| Language: | English |
| Date: | 21 October 2019 |
| Publisher: | IEEE |
| Journal or Publication Title: | IEEE Access |
| Volume of the journal: | 7 |
| DOI: | 10.1109/ACCESS.2019.2948399 |
| Corresponding Links: | |
| 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. |
| Classification DDC: | 000 Generalities, computers, information > 004 Computer science |
| Divisions: | 20 Department of Computer Science 20 Department of Computer Science > Telecooperation DFG-Collaborative Research Centres (incl. Transregio) DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Research Training Group 2050 Privacy and Trust for Mobile Users DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology > Subproject A1: Modelling |
| Date Deposited: | 17 Nov 2019 20:55 |
| Last Modified: | 03 Jul 2024 02:43 |
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| Suche nach Titel in: | TUfind oder in Google |
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What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges. (deposited 15 Nov 2019 12:41)
- What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges. (deposited 17 Nov 2019 20:55) [Currently Displayed]
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