A Distributed Fog Computing Architecture Supporting Multiple Migrating Mode

2018 ◽  
Author(s):  
Qimin Jin ◽  
Rongheng Lin ◽  
Hua Zou ◽  
Fangchun Yang
Keyword(s):  
Fog Computing ◽  
Computing Architecture

Machine Learning Model for the Detection of Electric Energy Fraud using an Edge-Fog Computing Architecture

2020 ◽  
Author(s):  
Juan C. Olivares-Rojas ◽  
Enrique Reyes-Archundia ◽  
Noel E. Rodriiguez-Maya ◽  
Jose A. Gutierrez-Gnecchi ◽  
Ismael Molina-Moreno ◽  
...  
Keyword(s):  
Machine Learning ◽  
Fog Computing ◽  
Electric Energy ◽  
Learning Model ◽  
Computing Architecture ◽  
Machine Learning Model

Attaining Sustainability over Fog Computing Architecture

2021 ◽  
Author(s):  
Suresh Shanmugasundaram ◽  
Divya Preya Chidambaram
Keyword(s):  
Fog Computing ◽  
Computing Architecture

scholarly journals Fog Computing in the context of Smart Home, voice assistant and the future of IoT

2020 ◽  
Vol 21 (1) ◽  
pp. 6-12
Author(s):  
Javier Pinzón Castellanos ◽  
Miguel Antonio Cadena Carter
Keyword(s):  
Cloud Computing ◽  
Distributed Computing ◽  
Data Transmission ◽  
Smart Home ◽  
Fog Computing ◽  
Relevant Information ◽  
Raspberry Pi ◽  
Thermal Sensors ◽  
Computing Architecture ◽  
The Future

Fog Computing is the distributed computing layer that lies between the user and the cloud. A successful fog architecture reduces delay or latency and increases efficiency. This paper describes the development and implementation of a distributed computing architecture applied to an automation environment that uses Fog Computing as an intermediary with the cloud computing layer. This study used a Raspberry Pi V3 board connected to end control elements such as servomotors and relays, indicators and thermal sensors. All is controlled by an automation framework that receives orders from Siri and executes them through predetermined instructions. The cloud connection benefits from a reduced amount of data transmission, because it only receives relevant information for analysis.

Design and Implementation of Low-Cost Fog Computing Architecture for IoT-Based Applications

2021 ◽  
Author(s):  
Ahmad Zainudin ◽  
Cosmas Ifeanyi Nwakanma ◽  
Dong-Seong Kim ◽  
Jae-Min Lee
Keyword(s):  
Low Cost ◽  
Fog Computing ◽  
Computing Architecture ◽  
Design And Implementation
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