Comparison of edge computing implementations: Fog computing, cloudlet and mobile edge computing
By Koustabh Dolui, Soumya Kanti Datta. Global Internet of Things Summit, 2017
434 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/b5b5a76a1c757484b1a762d62e350f3e4672edd4
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Michele De Donno
- Tiago M. Fernández-Caramés
- Paula Fraga-Lamas
- Miguel Vilar-Montesinos
- Óscar Blanco-Novoa
- Nicola Dragoni
- Koen Tange
In Electrical and Electronic Engineering
- Michele De Donno
- Tiago M. Fernández-Caramés
- Paula Fraga-Lamas
- Miguel Vilar-Montesinos
- Óscar Blanco-Novoa
- Nicola Dragoni
- Koen Tange
Citations in the corpus
- A Review on Industrial Augmented Reality Systems for the Industry 4.0 Shipyard (2018, methodology): “Such a paradigm can be implemented through different approximations, including basically Fog Computing, Cloudlets and Mobile Edge Computing [134].”
- A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “, routers, switches, IoT gateways), and a cloudlet can be referred to as a cloud DC in a box [19].”
- Edge-Computing-Enabled Smart Cities: A Comprehensive Survey (2019, neutral): “The mobile-edge computing has the highest context awareness due to their availability of user device location, network load, and network capacity at the edge servers [102].”
- A Review on the Use of Blockchain for the Internet of Things (2018, background): “worth mentioning the work described in [71], which presents a generic smart healthcare system that makes use of IoT devices, cloud and fog computing [72], a blockchain, Tor [73]”
- Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog (2019, methodology): “Fog computing is often considered as an implementation of Edge computing [3], [38], [39], [42], [45].”