Internet of Things

Internet of Things

Principles and Paradigms

First published on May 10, 2016

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  • Editors: Rajkumar Buyya, Amir Vahid Dastjerdi
  • eBook ISBN: 9780128093474
  • Paperback ISBN: 9780128053959

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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. 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. To help realize the full potential of IoT, the book 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 the privacy and ethical issues around data sensing, storage, and processing.

Key Features

  • Addresses the main concepts and features of the IoT paradigm
  • Describes different architectures for managing IoT platforms
  • Provides insight on trust, security, and privacy in IoT environments
  • Describes data management techniques applied to the IoT environment
  • Examines the key enablers and solutions to enable practical IoT systems
  • Looks at the key developments that support next generation IoT platforms
  • Includes input from expert contributors from both academia and industry on building and deploying IoT platforms and applications


Graduate level Computer Science students studying IoT, sensors network, distributed systems, networks security, cloud computing, and Big Data. IoT practitioners, including network architects, data scientists, computer engineers, and IoT and cloud developers.

Table of Contents

    • List of Contributors
    • About the Editors
    • Preface
    • Acknowledgments
    • Part I: IoT ecosystem concepts and architectures
      • Chapter 1: Internet of Things: an overview
        • Abstract
        • 1.1. Introduction
        • 1.2. Internet of Things definition evolution
        • 1.3. IoT architectures
        • 1.4. Resource management
        • 1.5. IoT data management and analytics
        • 1.6. Communication protocols
        • 1.7. Internet of Things applications
        • 1.8. Security
        • 1.9. Identity management and authentication
        • 1.10. Privacy
        • 1.11. Standardization and regulatory limitations
        • 1.12. Conclusions
      • Chapter 2: Open source semantic web infrastructure for managing IoT resources in the Cloud
        • Abstract
        • 2.1. Introduction
        • 2.2. Background/related work
        • 2.3. OpenIoT architecture for IoT/cloud convergence
        • 2.4. Scheduling process and IoT services lifecycle
        • 2.5. Scheduling and resource management
        • 2.6. Validating applications and use cases
        • 2.7. Future research directions
        • 2.8. Conclusions
        • Acknowledgments
      • Chapter 3: Device/Cloud collaboration framework for intelligence applications
        • Abstract
        • 3.1. Introduction
        • 3.2. Background and related work
        • 3.3. Device/cloud collaboration framework
        • 3.4. Applications of device/cloud collaboration
        • 3.5. Future work
        • 3.6. Conclusions
        • Acknowledgments
      • Chapter 4: Fog Computing: principles, architectures, and applications
        • Abstract
        • 4.1. Introduction
        • 4.2. Motivating scenario
        • 4.3. Definitions and characteristics
        • 4.4. Reference architecture
        • 4.5. Applications
        • 4.6. Research directions and enablers
        • 4.7. Commercial products
        • 4.8. Case study
        • 4.9. Conclusions
    • Part II: IoT enablers and solutions
      • Chapter 5: Programming frameworks for Internet of Things
        • Abstract
        • 5.1. Introduction
        • 5.2. Background
        • 5.3. Survey of IoT programming frameworks
        • 5.4. Future research directions
        • 5.5. Conclusions
      • Chapter 6: Virtualization on embedded boards as enabling technology for the Cloud of Things
        • Abstract
        • 6.1. Introduction
        • 6.2. Background
        • 6.3. Virtualization and real-time
        • 6.4. Experimental results
        • 6.5. Future research directions
        • 6.6. Conclusions
      • Chapter 7: Micro Virtual Machines (MicroVMs) for Cloud-assisted Cyber-Physical Systems (CPS)
        • Abstract
        • 7.1. Introduction
        • 7.2. Related work
        • 7.3. Architecture for deploying CPS in the Cloud and the expansion of the IoT
        • 7.4. Extending the possibilities of the IoT by Cloud Computing
        • 7.5. Micro Virtual Machines with the Sensor Observation Service, the path between smart objects and CPS
        • 7.6. IoT architecture for selected use cases
        • 7.7. Future research directions
        • 7.8. Conclusions
    • Part III: IoT data and knowledge management
      • Chapter 8: Stream processing in IoT: foundations, state-of-the-art, and future directions
        • Abstract
        • 8.1. Introduction
        • 8.2. The foundations of stream processing in IoT
        • 8.3. Continuous Logic Processing System
        • 8.4. Challenges and future directions
        • 8.5. Conclusions
      • Chapter 9: A framework for distributed data analysis for IoT
        • Abstract
        • 9.1. Introduction
        • 9.2. Preliminaries
        • 9.3. Anomaly detection
        • 9.4. Problem statement and definitions
        • 9.5. Distributed anomaly detection
        • 9.6. Efficient incremental local modeling
        • 9.7. Summary
    • Part IV: IoT reliability, security, and privacy
      • Chapter 10: Security and privacy in the Internet of Things
        • Abstract
        • 10.1. Concepts
        • 10.2. IoT security overview
        • 10.3. Security frameworks for IoT
        • 10.4. Privacy in IoT networks
        • 10.5. Summary and conclusions
      • Chapter 11: Internet of Things—robustness and reliability
        • Abstract
        • 11.1. Introduction
        • 11.2. IoT characteristics and reliability issues
        • 11.3. Addressing reliability
      • Chapter 12: Governing Internet of Things: issues, approaches, and new paradigms
        • Abstract
        • 12.1. Introduction
        • 12.2. Background and related work
        • 12.3. IoT governance
        • 12.4. Future research directions
        • 12.5. Conclusions
      • Chapter 13: TinyTO: two-way authentication for constrained devices in the Internet of Things
        • Abstract
        • 13.1. Introduction
        • 13.2. Security aspects and solutions
        • 13.3. Design decisions
        • 13.4. TinyTO protocol
        • 13.5. Evaluation
        • 13.6. Summary
        • Acknowledgments
      • Chapter 14: Obfuscation and diversification for securing the internet of things (IoT)
        • Abstract
        • 14.1. Introduction
        • 14.2. Distinguishing characteristics of IoT
        • 14.3. Obfuscation and diversification techniques
        • 14.4. Enhancing the security in IoT using obfuscation and diversification techniques
        • 14.5. Different use-case scenarios on software diversification and obfuscation
        • 14.6. Conclusions and future work
    • Part V: IoT applications
      • Chapter 15: Applied Internet of Things
        • Abstract
        • 15.1. Introduction
        • 15.2. Scenario
        • 15.3. Architecture overview
        • 15.4. Sensors
        • 15.5. The gateway
        • 15.6. Data transmission
        • 15.7. Conclusions
        • Acknowledgments
      • Chapter 16: Internet of Vehicles and applications
        • Abstract
        • 16.1. Basics of IoV
        • 16.2. Characteristics and challenges
        • 16.3. Enabling technologies
        • 16.4. Applications
        • 16.5. Summary and future directions
      • Chapter 17: Cloud-Based Smart-Facilities Management
        • Abstract
        • 17.1. Introduction
        • 17.2. Background and related work
        • 17.3. A cloud-based architecture for smart-facility management
        • 17.4. Middleware services
        • 17.5. Resource management techniques for wireless sensor networks
        • 17.6. Resource management techniques for supporting data analytics
        • 17.7. Case study: management of sensor-based bridges
        • 17.8. Case study: research collaboration platform for management of smart machinery
        • 17.9. Conclusions
        • Acknowledgments
    • Index

Product details

  • No. of pages: 378
  • Language: English
  • Copyright: © Morgan Kaufmann 2016
  • Published: May 10, 2016
  • Imprint: Morgan Kaufmann
  • eBook ISBN: 9780128093474
  • Paperback ISBN: 9780128053959

About the Editors

Rajkumar Buyya

Rajkumar Buyya
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.

Affiliations and Expertise

Professor and Director, Cloud Computing and Distributed Systems Laboratory, University of Melbourne, Australia

Amir Vahid Dastjerdi

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.

Affiliations and Expertise

Cloud Computing and Distributed Systems (CLOUDS) laboratory, University of Melbourne, Australia

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