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Fog Computing. Группа авторовЧитать онлайн книгу.

Fog Computing - Группа авторов


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and Analysis of Distributed Algorithms / Nicola Santoro

      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)

       Edited by

       Assad Abbas

      COMSATS University Islamabad, Pakistan

       Samee U. Khan

      North Dakota State University, USA

       Albert Y. Zomaya

      University of Sydney, Australia

      © 2020 John Wiley & Sons, Inc.

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      The right of Assad Abbas, Samee U. Khan, and Albert Y. Zomaya to be identified as the authors of this work / the editorial material in this work has been asserted in accordance with law.

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      MATLAB® is a trademark of The MathWorks, Inc. and is used with permission. The MathWorks does not warrant the accuracy of the text or exercises in this book. This work's use or discussion of MATLAB® software or related products does not constitute endorsement or sponsorship by The MathWorks of a particular pedagogical approach or particular use of the MATLAB® software. While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

       Library of Congress Cataloging-in-Publication data applied for

      ISBN: 9781119551690

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      Cover Image: © Khing Choy/Shutterstock

Part I Fog Computing Systems and Architectures

       Chii Chang, Amnir Hadachi, Jakob Mass, and Satish Narayana Srirama

       Institute of Computer Science, University of Tartu, Estonia

      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].


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