A Topic-Based Publish/Subscribe System in a Fog Computing Model for the IoT

2020 ◽  
pp. 12-21 ◽  
Author(s):  
Takumi Saito ◽  
Shigenari Nakamura ◽  
Tomoya Enokido ◽  
Makoto Takizawa
Keyword(s):  
Fog Computing ◽  
Computing Model

Security Challenges in Fog Computing

2019 ◽  
pp. 148-164
Author(s):  
Anshu Devi ◽  
Ramesh Kait ◽  
Virender Ranga
Keyword(s):  
Cloud Computing ◽  
Fog Computing ◽  
Cloud Security ◽  
Trust Model ◽  
Security Threats ◽  
New Paradigm ◽  
Computing Model ◽  
Security Challenges ◽  
Security Concerns ◽  
Distinct Features

Fog computing is a term coined by networking giant Cisco. It is a new paradigm that extends the cloud computing model by conferring computation, storage, and application services at the periphery of networks. Fog computing is a gifted paradigm of cloud computing that facilitates the mobility, portability, heterogeneity, and processing of voluminous data. These distinct features of fog help to reduce latency and make it suitable for location-sensitive applications. Fog computing features raise new security concerns and challenges. The existing cloud security has not been implemented directly due to mobility, heterogeneity of fog nodes. As we know, IoT has to process large amount of data quickly; therefore, it has various functionality-driven applications that escalate security concerns. The primary aim of this chapter is to present the most recent security aspects such as authentication and trust, reputation-based trust model, rogue fog node and authentication at different level, security threats, challenges, and also highlights the future aspects of fog.

scholarly journals An IoT-Based Fog Computing Model

Sensors ◽  
2019 ◽  
Vol 19 (12) ◽  
pp. 2783 ◽  
Author(s):  
Kun Ma ◽  
Antoine Bagula ◽  
Clement Nyirenda ◽  
Olasupo Ajayi
Keyword(s):  
Cloud Computing ◽  
Fog Computing ◽  
Physical Distance ◽  
Cloud Services ◽  
Daily Lives ◽  
Service Computing ◽  
Network Bandwidth ◽  
Computing Model ◽  
Data Source ◽  
The Internet Of Things

The internet of things (IoT) and cloud computing are two technologies which have recently changed both the academia and industry and impacted our daily lives in different ways. However, despite their impact, both technologies have their shortcomings. Though being cheap and convenient, cloud services consume a huge amount of network bandwidth. Furthermore, the physical distance between data source(s) and the data centre makes delays a frequent problem in cloud computing infrastructures. Fog computing has been proposed as a distributed service computing model that provides a solution to these limitations. It is based on a para-virtualized architecture that fully utilizes the computing functions of terminal devices and the advantages of local proximity processing. This paper proposes a multi-layer IoT-based fog computing model called IoT-FCM, which uses a genetic algorithm for resource allocation between the terminal layer and fog layer and a multi-sink version of the least interference beaconing protocol (LIBP) called least interference multi-sink protocol (LIMP) to enhance the fault-tolerance/robustness and reduce energy consumption of a terminal layer. Simulation results show that compared to the popular max–min and fog-oriented max–min, IoT-FCM performs better by reducing the distance between terminals and fog nodes by at least 38% and reducing energy consumed by an average of 150 KWh while being at par with the other algorithms in terms of delay for high number of tasks.

Service Based FOG Computing Model for IoT

2017 ◽  
Author(s):  
Tasnia Heya Ashrafi ◽  
Md. Arshad Hossain ◽  
Sayed Erfan Arefin ◽  
Kowshik Dipta Jay Das ◽  
Amitabha Chakrabarty
Keyword(s):  
Fog Computing ◽  
Computing Model

scholarly journals A fog computing model for implementing motion guide to visually impaired

2020 ◽  
Vol 101 ◽  
pp. 102015 ◽  
Author(s):  
Jinhui Zhu ◽  
Jie Hu ◽  
Mei Zhang ◽  
Yinong Chen ◽  
Sheng Bi
Keyword(s):  
Visually Impaired ◽  
Fog Computing ◽  
Computing Model

Fog Computing: A Primer

2017 ◽  
Vol 7 (7) ◽  
pp. 405
Author(s):  
Matthew N. O. Sadiku ◽  
Mahamadou Tembely ◽  
Sarhan M. Musa
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Fog Computing ◽  
Resource Constrained ◽  
Computing Model ◽  
Computing Services ◽  
Iot Devices ◽  
Real Time Computing ◽  
And Storage ◽  
The Ideal

Fog computing (FC) was proposed in 2012 by Cisco as the ideal computing model for providing real-time computing services and storage to support the resource-constrained Internet of Things (IoT) devices. Thus, FC may be regarded as the convergence of the IoT and the Cloud, combining the data-centric IoT services and pay-as-you-go characteristics of clouds.  This paper provides a brief introduction of fog computing.

A Blockchain-Enabled Fog Computing Model for Peer-To-Peer Energy Trading in Smart Grid

2021 ◽  
pp. 14-23
Author(s):  
Saurabh Shukla ◽  
Subhasis Thakur ◽  
Shahid Hussain ◽  
John G. Breslin
Keyword(s):  
Smart Grid ◽  
Fog Computing ◽  
Peer To Peer ◽  
Energy Trading ◽  
Computing Model
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