Realm Towards Service Optimization in Fog Computing

2019 ◽  
Vol 2 (2) ◽  
pp. 13-43
Author(s):  
Ashish Tiwari ◽  
Rajeev Mohan Sharma
Keyword(s):  
Internet Of Things ◽  
Service Provider ◽  
Fog Computing ◽  
Quality Of Services ◽  
The Internet ◽  
Cloud Provider ◽  
The Internet Of Things ◽  
Service Optimization

Fog Computing provides resources as a service. Various providers are providing the best form of Quality of Services (QoS) which works in the principal of pay per use. Now it is important to connect the Internet of Things (IoT) services in fog computing. The strategy for choosing a service provider is assessed by which cloud provider provides what.

Realm Towards Service Optimization in Fog Computing

2021 ◽  
pp. 1530-1563
Author(s):  
Ashish Tiwari ◽  
Rajeev Mohan Sharma
Keyword(s):  
Internet Of Things ◽  
Service Provider ◽  
Fog Computing ◽  
Quality Of Services ◽  
The Internet ◽  
Cloud Provider ◽  
The Internet Of Things ◽  
Service Optimization

Fog Computing provides resources as a service. Various providers are providing the best form of Quality of Services (QoS) which works in the principal of pay per use. Now it is important to connect the Internet of Things (IoT) services in fog computing. The strategy for choosing a service provider is assessed by which cloud provider provides what.

Analysis of Internet of Things Based on Characteristics, Functionalities, and Challenges

2021 ◽  
Vol 5 (1) ◽  
pp. 44-62
Author(s):  
Ganesh Khekare ◽  
Pushpneel Verma ◽  
Urvashi Dhanre ◽  
Seema Raut ◽  
Ganesh Yenurkar
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Fog Computing ◽  
Smart Devices ◽  
The Internet ◽  
Private Companies ◽  
Internet Availability ◽  
Near Future ◽  
The Internet Of Things

The internet of things (IoT) is transpiring technology. In the last decade, demand of IoT has been increased due to various things like the use of smart devices; increased demand for voice-based services; the concept of smart cities has been evolved; more requirements of processed data in fields of artificial intelligence and machine learning; fog computing, deep learning, etc. IoT is expected to reach the milestone of 30 billion IoT units at the end of the year 2020. Internet of things is the network of statutory things like houses, private companies, automobiles, and various objects integrated with sensors, actuators, software, electronic equipment, and internet availability that provides the facility to devices to interchange their data. The main contribution of this article is to provide state of art about the characteristics, functionalities, and challenges of the internet of things and the journey of IoT right from start to how it will make an impact on people's quality of life throughout the world in the near future.

A Review of Quality of Service in Fog Computing for the Internet of Things

2020 ◽  
Vol 3 (1) ◽  
pp. 22-40 ◽  
Author(s):  
William Tichaona Vambe ◽  
Chii Chang ◽  
Khulumani Sibanda
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Fog Computing ◽  
The Internet ◽  
Open Problems ◽  
Primary Focus ◽  
Time Critical ◽  
Work Done ◽  
The Internet Of Things

With the advent of the paradigm of the Internet of Things, many computing elements need many modifications to promote Quality of Service (QoS). Quality of Service is a pillar that promotes real-time reaction to time-critical tasks. Any impediments to QoS should be resolved and handled. In 2012, fog computing was implemented to enhance QoS in current systems in a bid to tackle QoS problems encountered by using cloud computing alone. Currently, the primary focus in fog computing is now on enhancing QoS. The primary goal of this study is, therefore, to critically review and evaluate the literature on the work done to improve elements of QoS in fog computing. This study begins by examining the roots of history, characteristics, and advantages of fog computing. Secondly, it discusses the important elements of QoS parameters. Finally, open problems that still affect fog computing are identified and discussed in order to achieve enhanced QoS.

scholarly journals A Middleware with Comprehensive Quality of Context Support for the Internet of Things Applications

Sensors ◽  
2017 ◽  
Vol 17 (12) ◽  
pp. 2853 ◽  
Author(s):  
Berto Gomes ◽  
Luiz Muniz ◽  
Francisco da Silva e Silva ◽  
Davi dos Santos ◽  
Rafael Lopes ◽  
...  
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Quality Of Context ◽  
The Internet Of Things

scholarly journals Guest Editorial Special Issue on Fog Computing in the Internet of Things

2017 ◽  
Vol 4 (5) ◽  
pp. 1113-1116 ◽  
Author(s):  
Rong N. Chang ◽  
Xiuzhen Cheng ◽  
Wei Cheng ◽  
Wonjun Lee ◽  
Yingshu Li ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Guest Editorial ◽  
Fog Computing ◽  
The Internet ◽  
Special Issue ◽  
Editorial Special Issue ◽  
The Internet Of Things

scholarly journals Modelling Uptake Sensitivities of Connected and Automated Vehicle Technologies

2021 ◽  
Vol 10 (2) ◽  
pp. 88-106
Author(s):  
Gillian Harrison ◽  
Simon P. Shepherd ◽  
Haibo Chen
Keyword(s):  
Internet Of Things ◽  
Dynamic Modelling ◽  
Transport Systems ◽  
The Internet ◽  
Sensitivity Testing ◽  
Automated Vehicle ◽  
Vehicle Technologies ◽  
The Internet Of Things

Connected and automated vehicle (CAV) technologies and services are rapidly developing and have the potential to revolutionise the transport systems. However, like many innovations, the uptake pathways are uncertain. The focus of this article is on improving understanding of factors that may affect the uptake of highly and fully automated vehicles, with a particular interest in the role of the internet of things (IoT). Using system dynamic modelling, sensitivity testing towards vehicle attributes (e.g., comfort, safety, familiarity) is carried out and scenarios were developed to explore how CAV uptake can vary under different conditions based around the quality of IoT provision. Utility and poor IoT are found to have the biggest influence. Attention is then given to CAV ‘services' that are characterized by the attributes explored earlier in the paper, and it is found that they could contribute to a 20% increase in market share.

scholarly journals Design a blockchain-based middleware layer in the Internet of Things Architecture

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Tanweer Alam
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Smart Devices ◽  
The Internet ◽  
Novel Approach ◽  
Generation Computing ◽  
Critical Issues ◽  
Iot Devices ◽  
The Internet Of Things

In next-generation computing, the role of cloud, internet and smart devices will be capacious. Nowadays we all are familiar with the word smart. This word is used a number of times in our daily life. The Internet of Things (IoT) will produce remarkable different kinds of information from different resources. It can store big data in the cloud. The fog computing acts as an interface between cloud and IoT. The extension of fog in this framework works on physical things under IoT. The IoT devices are called fog nodes, they can have accessed anywhere within the range of the network. The blockchain is a novel approach to record the transactions in a sequence securely. Developing a new blockchains based middleware framework in the architecture of the Internet of Things is one of the critical issues of wireless networking where resolving such an issue would result in constant growth in the use and popularity of IoT. The proposed research creates a framework for providing the middleware framework in the internet of smart devices network for the internet of things using blockchains technology. Our main contribution links a new study that integrates blockchains to the Internet of things and provides communication security to the internet of smart devices.

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