On a Fog Computing Platform Built on ARM Architectures by Docker Container Technology

2017 ◽  
pp. 71-86 ◽  
Author(s):  
Andreas Eiermann ◽  
Mathias Renner ◽  
Marcel Großmann ◽  
Udo R. Krieger
Keyword(s):  
Fog Computing ◽  
Computing Platform

scholarly journals The FORA Fog Computing Platform for Industrial IoT

2021 ◽  
Vol 98 ◽  
pp. 101727
Author(s):  
Paul Pop ◽  
Bahram Zarrin ◽  
Mohammadreza Barzegaran ◽  
Stefan Schulte ◽  
Sasikumar Punnekkat ◽  
...  
Keyword(s):  
Fog Computing ◽  
Computing Platform ◽  
Industrial Iot

Supporting Internet-of-Things Analytics in a Fog Computing Platform

2017 ◽  
Author(s):  
Hua-Jun Hong ◽  
Pei-Hsuan Tsai ◽  
An-Chieh Cheng ◽  
Md Yusuf Sarwar Uddin ◽  
Nalini Venkatasubramanian ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Computing Platform

Agile polymorphic software-defined fog computing platform for mobile wireless controllers and sensors

2019 ◽  
Vol 9 (4) ◽  
pp. 426
Author(s):  
Sejun Song ◽  
Baek Young Choi ◽  
Chin Tser Huang ◽  
Yu Chen ◽  
Abdoh M.A. Jabbari ◽  
...  
Keyword(s):  
Fog Computing ◽  
Mobile Wireless ◽  
Computing Platform

scholarly journals A Fog Computing Architecture with Multi-Layer for Computing-Intensive IoT Applications

2021 ◽  
Vol 11 (24) ◽  
pp. 11585
Author(s):  
Muhammad Muneeb ◽  
Kwang-Man Ko ◽  
Young-Hoon Park
Keyword(s):  
Artificial Intelligence ◽  
Data Analysis ◽  
New Technologies ◽  
Fog Computing ◽  
Layered Architecture ◽  
Computing Platform ◽  
Computing Paradigm ◽  
Iot Devices ◽  
Analysis System ◽  
Data Analysis System

The emergence of new technologies and the era of IoT which will be based on compute-intensive applications. These applications will increase the traffic volume of today’s network infrastructure and will impact more on emerging Fifth Generation (5G) system. Research is going in many details, such as how to provide automation in managing and configuring data analysis tasks over cloud and edges, and to achieve minimum latency and bandwidth consumption with optimizing task allocation. The major challenge for researchers is to push the artificial intelligence to the edge to fully discover the potential of the fog computing paradigm. There are existing intelligence-based fog computing frameworks for IoT based applications, but research on Edge-Artificial Intelligence (Edge-AI) is still in its initial stage. Therefore, we chose to focus on data analytics and offloading in our proposed architecture. To address these problems, we have proposed a prototype of our architecture, which is a multi-layered architecture for data analysis between cloud and fog computing layers to perform latency- sensitive analysis with low latency. The main goal of this research is to use this multi-layer fog computing platform for enhancement of data analysis system based on IoT devices in real-time. Our research based on the policy of the OpenFog Consortium which will offer the good outcomes, but also surveillance and data analysis functionalities. We presented through case studies that our proposed prototype architecture outperformed the cloud-only environment in delay-time, network usage, and energy consumption.

scholarly journals A Model-Based Testing Framework for Validating an IoT Solution for Blockchain-Based Vehicles Communication

2020 ◽  
Author(s):  
Rateb Jabbar ◽  
Moez Krichen ◽  
Mohamed Kharbeche ◽  
Noora Fetais ◽  
Kamel Barkaoui
Keyword(s):  
Secure Communication ◽  
Smart Cities ◽  
Fog Computing ◽  
The Internet ◽  
Computing Platform ◽  
Model Based ◽  
Blockchain Technology ◽  
Fatal Crashes ◽  
Attack Trees ◽  
Smart Technologies

<div>The emergence of embedded and connected smart technologies, systems, and devices has enabled the concept of smart cities by connecting every ``thing'' to the Internet and in particular in transportation through the Internet of Vehicles (IoV). The main purpose of IoV is to prevent fatal crashes by resolving traffic and road safety problems. Nevertheless, it is paramount to ensure secure and accurate transmission and recording of data in ``Vehicle-to-Vehicle'' (V2V) and ``Vehicle-to-Infrastructure'' (V2I) communication. </div><div>To improve ``Vehicle-to-Everything'' (V2X) communication, this work uses Blockchain technology for developing a Blockchain-based IoT system aimed at establishing secure communication and developing a fully decentralized cloud computing platform.</div><div> Moreover, the authors propose a model-based framework to validate the proposed approach. This framework is mainly based on the use of the Attack Trees (AT) and timed automaton (TA) formalisms in order to test the functional, load and security aspects. An optimization phase for testers placement inspired by fog computing is proposed as well.</div>

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