| Title |
Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study |
| ID_Doc |
43121 |
| Authors |
Baccarelli, E; Naranjo, PGV; Scarpiniti, M; Shojafar, M; Abawajy, JH |
| Title |
Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study |
| Year |
2017 |
| Published |
|
| DOI |
10.1109/ACCESS.2017.2702013 |
| Abstract |
Fog computing (FC) and Internet of Everything (IoE) are two emerging technological paradigms that, to date, have been considered standing-alone. However, because of their complementary features, we expect that their integration can foster a number of computing and network-intensive pervasive applications under the incoming realm of the future Internet. Motivated by this consideration, the goal of this position paper is fivefold. First, we review the technological attributes and platforms proposed in the current literature for the standing-alone FC and IoE paradigms. Second, by leveraging some use cases as illustrative examples, we point out that the integration of the FC and IoE paradigms may give rise to opportunities for new applications in the realms of the IoE, Smart City, Industry 4.0, and Big Data Streaming, while introducing new open issues. Third, we propose a novel technological paradigm, the Fog of Everything (FoE) paradigm, that integrates FC and IoE and then we detail the main building blocks and services of the corresponding technological platform and protocol stack. Fourth, as a proof-of-concept, we present the simulated energy delay performance of a small-scale FoE prototype, namely, the V-FoE prototype. Afterward, we compare the obtained performance with the corresponding one of a benchmark technological platform, e.g., the V-D2D one. It exploits only device-to-device links to establish inter-thing "ad hoc" communication. Last, we point out the position of the proposed FoE paradigm over a spectrum of seemingly related recent research projects. |
| Author Keywords |
Fog of IoE; virtualized networked computing platforms for IoE; context-aware networking-plus-computing distributed resource management; Internet of Energy; Smart City; Industry 4.0; Big Data Streaming; future Internet |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000404270600105 |
| WoS Category |
Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications |
| Research Area |
Computer Science; Engineering; Telecommunications |
| PDF |
https://doi.org/10.1109/access.2017.2702013
|