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Informationen zum Autor 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. Klappentext The Internet of Things (IoT) paradigm promises to make any electronic devices part of the Internet environment. This new paradigm opens the doors to new innovations and interactions between people and things that will enhance the quality of life and utilization of scarce resources. . Internet of Things: Principles and Paradigms captures the state-of-the-art research in Internet of Things! its applications! architectures! and technologies. The book identifies potential future directions and technologies that facilitate insight into numerous scientific! business! and consumer applications. . . To help realize the full potential of IoT! Internet of Things: Principles and Paradigms addresses its numerous challenges and develops the conceptual and technological solutions for tackling them. These challenges include the development of scalable architecture! moving from closed systems to open systems! designing interaction protocols! autonomic management! and as well as the privacy and ethical issues around data sensing! storage! and processing. ...
List of contents
Part I: IoT Ecosystem Concepts and Architectures 1. Internet of Things: An Overview 2. Open Source Semantic Web Infrastructure for Managing IoT Resources in the Cloud 3. Device/Cloud Collaboration Framework for Intelligence Applications 4. Fog Computing: Principals, Architectures, and Applications
Part II: IoT Enablers and Solutions 5. Programming Frameworks for Internet of Things 6. Virtualization on Embedded Boards as Enabling Technology for the Cloud of Things 7. Micro Virtual Machines (MicroVMs) for Cloud Assisted Cyber-Physical Systems (CPS)
Part III: IoT Data and Knowledge Management 8. Stream Processing in IoT: Foundations, State-of-the-art, and Future Directions 9. A Framework for Distributed Data Analysis for IoT
Part IV: IoT Reliability, Security and Privacy 10. Security and Privacy in the Internet of Things: A Survey 11. Internet of Things- Robustness and Reliability 12. Governing Internet of Things: Issues, Approaches and New Paradigms 13. TinyTO: Two way Authentication for Constraint Devices in the Internet of Things 14. Obfuscation and Diversification for Securing the Internet of Things (IoT)
Part V: IoT Applications 15. Applied Internet of Things 16. Internet of Vehicles and Applications 17. Cloud-Based Smart Facility Management
