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Fog Computing. Группа авторов
Читать онлайн.Название Fog Computing
Год выпуска 0
isbn 9781119551775
Автор произведения Группа авторов
Жанр Отраслевые издания
Издательство John Wiley & Sons Limited
Task Scheduling for Parallel Systems / Oliver Sinnen
Computing for Numerical Methods Using Visual C++ / Shaharuddin Salleh, Albert Y. Zomaya, and Sakhinah A. Bakar
Architecture-Independent Programming for Wireless Sensor Networks / Amol B. Bakshi and Viktor K. Prasanna
High-Performance Parallel Database Processing and Grid Databases / David Taniar, Clement Leung, Wenny Rahayu, and Sushant Goel
Algorithms and Protocols for Wireless and Mobile Ad Hoc Networks / Azzedine Boukerche (Editor)
Algorithms and Protocols for Wireless Sensor Networks / Azzedine Boukerche (Editor)
Optimization Techniques for Solving Complex Problems / Enrique Alba, Christian Blum, Pedro Isasi, Coromoto León, and Juan Antonio Gómez (Editors)
Emerging Wireless LANs, Wireless PANs, and Wireless MANs: IEEE 802.11, IEEE 802.15, IEEE 802.16 Wireless Standard Family / Yang Xiao and Yi Pan (Editors)
High-Performance Heterogeneous Computing / Alexey L. Lastovetsky and Jack Dongarra
Mobile Intelligence / Laurence T. Yang, Augustinus Borgy Waluyo, Jianhua Ma, Ling Tan, and Bala Srinivasan (Editors)
Advanced Computational Infrastructures for Parallel and Distributed Adaptive Applications / Manish Parashar and Xiaolin Li (Editors)
Market-Oriented Grid and Utility Computing / Rajkumar Buyya and Kris Bubendorfer (Editors)
Cloud Computing Principles and Paradigms / Rajkumar Buyya, James Broberg, and Andrzej Goscinski
Energy-Efficient Distributed Computing Systems / Albert Y. Zomaya and Young Choon Lee (Editors)
Fog Computing: Theory and Practice
Edited by
Assad Abbas
COMSATS University Islamabad, Pakistan
Samee U. Khan
North Dakota State University, USA
Albert Y. Zomaya
University of Sydney, Australia
This edition first published 2020.
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Library of Congress Cataloging-in-Publication data applied for
ISBN: 9781119551690
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Cover Image: © Khing Choy/Shutterstock
1 Mobile Fog Computing
Chii Chang, Amnir Hadachi, Jakob Mass, and Satish Narayana Srirama
Institute of Computer Science, University of Tartu, Estonia
1.1 Introduction
The Internet of Things (IoT) paradigm motivates various next-generation applications in the domains of smart home, smart city, smart agriculture, smart manufacturing, smart mobility, and so forth [1], where the online systems are capable of managing physical objects, such as home appliances, public facilities, farming equipment or production line machines via the Internet. Moreover, mobile objects, such as land vehicles (e.g. cars, trucks, buses, etc.), maritime transports (e.g. ships, boats, vessels, etc.), unmanned aerial vehicles (UAVs; e.g. drones), and user equipment (UE; e.g. smartphones, tablets, mobile Internet terminals, etc.), have become the indispensable elements in IoT to assist a broad range of mobile IoT applications.
Mobile IoT applications emphasize the connectivity and the interoperability among the IoT infrastructure and the mobile objects. For example, in an Internet of Vehicles (IoVs) application [2], the IoT-based smart traffic infrastructure provides the connected roadside units (RSUs) that assist the smart cars to exchange the current traffic situation of the city center toward reducing the chance of traffic accidents and issues. As another example, classic disaster recovery activities of a city require numerous manned operations to monitor the disaster conditions, which involve high risk for human workers. Conversely, by integrating an Internet of Drones (IoD) [3], the smart city government can dispatch a number of drones to monitor and to execute the tasks without sending human workers to the frontline. Unexceptionally, mobile IoT also has benefited maritime activities in terms of improving the information exchange among the vessels and the central maritime management system, hastening the overall process speed of fishery or marine scientific activities [4].
Besides