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This go-to reference describes the fundamental concepts, algorithms, tools, technologies, and best practices that enable Internet of Things applications and architectures. Identifies future directions and technologies, facilitating insight into numerous scientific, business, and consumer applications. Addresses IoT challenges and discusses the conceptual and technological solutions for tackling them.

Table of Contents

Part I: IoT Ecosystem Concepts and Architectures1. Internet of Things: An Overview2. Open Source Semantic Web Infrastructure for Managing IoT Resources in the Cloud3. Device/Cloud Collaboration Framework for Intelligence Applications4. Fog Computing: Principals, Architectures, and Applications

Part II: IoT Enablers and Solutions5. Programming Frameworks for Internet of Things6. Virtualization on Embedded Boards as Enabling Technology for the Cloud of Things7. Micro Virtual Machines (MicroVMs) for Cloud Assisted Cyber-Physical Systems (CPS)

Part III: IoT Data and Knowledge Management8. Stream Processing in IoT: Foundations, State-of-the-art, and Future Directions9. A Framework for Distributed Data Analysis for IoT

Part IV: IoT Reliability, Security and Privacy10. Security and Privacy in the Internet of Things: A Survey11. Internet of Things- Robustness and Reliability12. Governing Internet of Things: Issues, Approaches and New Paradigms13. TinyTO: Two way Authentication for Constraint Devices in the Internet of Things14. Obfuscation and Diversification for Securing the Internet of Things (IoT)

Part V: IoT Applications15. Applied Internet of Things16. Internet of Vehicles and Applications17. Cloud-Based Smart Facility Management

About the Author

Dr. Rajkumar Buyya is Redmond Barry Distinguished Professor and Director of the Cloud Computing and
Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the
founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud
Computing. He has authored over 650 publications and seven textbooks including Mastering Cloud Computing
from McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese and international markets
respectively. Dr. Buyya is one of the most highly-cited authors in Computer Sience and Software Engineering
worldwide. “A Scientometric Analysis of Cloud Computing Literature” by German scientists ranked Dr. Buyya
as the World's Top-Cited Author and the World's Most-Productive Author in Cloud Computing. He has been
recognized as a Web of Science “Highly Cited Researcher” for four consecutive years since 2016. Dr. Buyya
was recognized as Scopus Researcher of the Year 2017 with Excellence in Innovative Research Award from
Elsevier; "Lifetime Achievement Awards" from two Indian universities, and the “Best of the World,” in the
Computing Systems field, by The Australian 2019 Research Review. Software technologies for Grid, Cloud, and
Fog computing developed under Dr. Buyya's leadership have gained rapid acceptance and are in use at several
academic institutions and commercial enterprises in 40 countries around the world. Dr. Buyya has led the
establishment and development of key community activities, including serving as foundation Chair of the IEEE
Technical Committee on Scalable Computing and five IEEE/ACM conferences. These contributions and the
international research leadership of Dr. Buyya are recognized through the award of the “2009 IEEE Medal for
Excellence in Scalable Computing” from the IEEE Computer Society TCSC. Manjrasoft's Aneka Cloud
technology developed under his leadership has received the "Frost & Sullivan New Product Innovation Award."
Dr. Buyya served as founding Editor-in-Chief of the IEEE Transactions on Cloud Computing. He is currently
serving as Editor-in-Chief of Software: Practice and Experience, a long-standing journal in the field, established
more than 50 years ago. Dr. Amir Vahid Dastjerdi is a research fellow with the Cloud Computing and Distributed Systems (CLOUDS) laboratory at the University of Melbourne. He received his PhD in computer science from the University of Melbourne and his areas of interest include Internet of Things, Big data, and cloud computing. He is a technology enthusiast who has over a decade experience in distributed systems.