Handbook of research on cloud and fog computing infrastructures for data science /
"This book explores cloud and fog/edge infrastructures for achieving next-generation data science functionalities and facilities. It also focuses on cloud infrastructures (public, private and hybrid) and edge/fog infrastructures that facilitate the formation and sustenance of device clouds in o...
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Corporate Authors: | |
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Group Author: | ; |
Published: |
IGI Global,
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Publisher Address: | Hershey, Pennsylvania : |
Publication Dates: | [2018] |
Literature type: | eBook |
Language: | English |
Subjects: | |
Online Access: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-5225-5972-6 |
Summary: |
"This book explores cloud and fog/edge infrastructures for achieving next-generation data science functionalities and facilities. It also focuses on cloud infrastructures (public, private and hybrid) and edge/fog infrastructures that facilitate the formation and sustenance of device clouds in order to have powerful data science facility in place"-- |
Carrier Form: | 24 PDFs (xx, 440 pages) |
Bibliography: | Includes bibliographical references and index. |
ISBN: | 9781522559733 |
Access: | Restricted to subscribers or individual electronic text purchasers. |
Index Number: | QA76 |
CLC: | TP393.027 |
Contents: | Chapter 1. Expounding the edge/fog computing infrastructures for data science -- Chapter 2. Evolution of fog computing and its role in IoT applications -- Chapter 3. Fog computing and virtualization -- Chapter 4. Fog computing: introduction, architecture, analytics, and platforms -- Chapter 5. A comprehensive survey of IoT edge/fog computing protocols -- Chapter 6. Software-defined cloud infrastructure -- Chapter 7. Internet of things (IoT): a study on key elements, protocols, application, research challenges, and fog computing -- Chapter 8. Internet of things (IoT) technologies, architecture, protocols, security, and applications: a Survey -- Chapter 9. Fuzzy-logic-based decision engine for offloading IoT application using fog computing -- Chapter 10. Data mining algorithms and techniques -- Chapter 11. Machine learning -- Chapter 12. Data mining algorithms, fog computing -- Chapter 13. Remote elderly health monitoring system using cloud-based WBANS -- Chapter 14. Internet of things and smart city initiatives in Middle Eastern Countries -- Chapter 15. Comparison study of different NoSQL and cloud paradigm for better data storage technology -- Chapter 16. Fast data vs. big data with IoT streaming analytics and the future applications -- Chapter 17. Voice biometrics: the promising future of authentication in the Internet of things -- Chapter 18. Text, images, and video analytics for fog computing. |