A survey on Fog Computing and its research challenges

2020 ◽  
Vol 11 (4) ◽  
pp. 486
Author(s):  
José Dos Santos Machado ◽  
Edward David Moreno ◽  
Admilson De Ribamar Lima Ribeiro
2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Najah AbuAli ◽  
Hatem Abou-zeid

The advances in wireless communication schemes, mobile cloud and fog computing, and context-aware services boost a growing interest in the design, development, and deployment of driver behavior models for emerging applications. Despite the progressive advancements in various aspects of driver behavior modeling (DBM), only limited work can be found that reviews the growing body of literature, which only targets a subset of DBM processes. Thus a more general review of the diverse aspects of DBM, with an emphasis on the most recent developments, is needed. In this paper, we provide an overview of advances of in-vehicle and smartphone sensing capabilities and communication and recent applications and services of DBM and emphasize research challenges and key future directions.


2020 ◽  
Vol 11 (4) ◽  
pp. 486
Author(s):  
Admilson De Ribamar Lima Ribeiro ◽  
Edward David Moreno ◽  
José Dos Santos Machado

2018 ◽  
Vol 20 (1) ◽  
pp. 416-464 ◽  
Author(s):  
Carla Mouradian ◽  
Diala Naboulsi ◽  
Sami Yangui ◽  
Roch H. Glitho ◽  
Monique J. Morrow ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4807 ◽  
Author(s):  
Rabeea Basir ◽  
Saad Qaisar ◽  
Mudassar Ali ◽  
Monther Aldwairi ◽  
Muhammad Ikram Ashraf ◽  
...  

Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. This article has two main research areas: In the first half, we discuss the history of industrial revolution, application areas of IIoT followed by key enabling technologies that act as building blocks for industrial transformation. In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 110943-110946
Author(s):  
Mithun Mukherjee ◽  
Maria Gorlatova ◽  
James Gross ◽  
Mohammad Aazam

2021 ◽  
pp. 46-63
Author(s):  
John Paul Martin ◽  
Vipin Singh ◽  
K Chandrasekaran ◽  
A Kandasamy

Author(s):  
P. Suresh ◽  
S. Koteeswaran ◽  
N. Malarvizhi ◽  
R. H. Aswathy

The physical world entities are communicated via advanced communication technologies without human intervention. Such an evolving advanced version of automation technology is internet of things (IOT), where each smart device is provided with unique identification. The integration part of such technology comprises key elements, protocols, applications, and research challenges. This chapter discusses such terms and addresses the research challenges. The concept of fog computing is analyzed by cognitive approach. Fog computing localizes the processing information and optimizes the communication and storage among enormous smart devices. In addition, it favourably mitigates the need of bandwidth size and delay in communication.


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