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

Energy-Optimal Dynamic Computation Offloading for Industrial IoT in Fog Computing

2020 ◽  
Vol 4 (2) ◽  
pp. 566-576 ◽  
Author(s):  
Siguang Chen ◽  
Yimin Zheng ◽  
Weifeng Lu ◽  
Vijayakumar Varadarajan ◽  
Kun Wang
Keyword(s):  
Fog Computing ◽  
Computation Offloading ◽  
Industrial Iot ◽  
Dynamic Computation ◽  
Optimal Dynamic

scholarly journals Smart Sensor Architectures for Multimedia Sensing in IoMT

Sensors ◽  
2020 ◽  
Vol 20 (5) ◽  
pp. 1400 ◽  
Author(s):  
Javier Silvestre-Blanes ◽  
Víctor Sempere-Payá ◽  
Teresa Albero-Albero
Keyword(s):  
Fog Computing ◽  
The Internet ◽  
Network Connection ◽  
Correct Definition ◽  
Wide Range ◽  
Industrial Iot ◽  
Consumption Cost ◽  
Definition Of ◽  
Processor Frequency ◽  
The Internet Of Things

Today, a wide range of developments and paradigms require the use of embedded systems characterized by restrictions on their computing capacity, consumption, cost, and network connection. The evolution of the Internet of Things (IoT) towards Industrial IoT (IIoT) or the Internet of Multimedia Things (IoMT), its impact within the 4.0 industry, the evolution of cloud computing towards edge or fog computing, also called near-sensor computing, or the increase in the use of embedded vision, are current examples of this trend. One of the most common methods of reducing energy consumption is the use of processor frequency scaling, based on a particular policy. The algorithms to define this policy are intended to obtain good responses to the workloads that occur in smarthphones. There has been no study that allows a correct definition of these algorithms for workloads such as those expected in the above scenarios. This paper presents a method to determine the operating parameters of the dynamic governor algorithm called Interactive, which offers significant improvements in power consumption, without reducing the performance of the application. These improvements depend on the load that the system has to support, so the results are evaluated against three different loads, from higher to lower, showing improvements ranging from 62% to 26%.

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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