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
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 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik |
| 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: | 10 Feb 2023 08:18 |
| PPN: | |
| Corresponding Links: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Send an inquiry |
Options (only for editors)
 |
Show editorial Details |
Drucken
Impressum