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Internet of Things

Principles and Paradigms

Paperback Engels 2016 9780128053959
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Key Feature:
- 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

'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.

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.


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Over Rajkumar Buyya

Dr. Rajkumar Buyya is a Fellow of IEEE, Professor of Computer Science and Software Engineering, Future Fellow of the Australian Research Council, 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 500 publications and four text books including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Elsevier/Morgan Kaufmann for Indian, Chinese and international markets respectively. He is one of the highly cited authors in computer science and software engineering worldwide. "A Scientometric Analysis of Cloud Computing Literature" by German scientists ranked Dr. Buyya as the World's Top-Cited (#1) Author and the World's Most-Productive (#1) Author in Cloud Computing. Software technologies for Grid and Cloud 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 international research leadership of Dr. Buyya are recognized through the award of "2009 IEEE TCSC Medal for Excellence in Scalable Computing" from the IEEE Computer Society TCSC. Manjrasoft's Aneka Cloud technology developed under his leadership has received "2010 Frost & Sullivan New Product Innovation Award" and recently Manjrasoft has been recognised as one of the Top 20 Cloud Computing companies by the Silicon Review Magazine. He served as the foundation Editor-in-Chief of IEEE Transactions on Cloud Computing. He is currently serving as Co-Editor-in-Chief of Journal of Software: Practice and Experience, which was established 40+ years ago. For further information on Dr.Buyya, please visit his cyberhome: www.buyya.com

Andere boeken door Rajkumar Buyya

Over 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.

Andere boeken door Amir Vahid Dastjerdi


List of Contributors
About the Editors

Part I: IoT ecosystem concepts and architectures
1. Internet of Things: an overview
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

2. Open source semantic web infrastructure for managing IoT resources in the Cloud
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

3. Device/Cloud collaboration framework for intelligence applications
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

4. Fog Computing: principles, architectures, and applications
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
5. Programming frameworks for Internet of Things
5.1. Introduction
5.2. Background
5.3. Survey of IoT programming frameworks
5.4. Future research directions
5.5. Conclusions

6. Virtualization on embedded boards as enabling technology for the Cloud of Things
6.1. Introduction
6.2. Background
6.3. Virtualization and real-time
6.4. Experimental results
6.5. Future research directions
6.6. Conclusions

7. Micro Virtual Machines (MicroVMs) for Cloud-assisted Cyber-Physical Systems (CPS)
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
8. Stream processing in IoT: foundations, state-of-the-art, and future directions
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

9. A framework for distributed data analysis for IoT
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
10. Security and privacy in the Internet of Things
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

11. Internet of Things—robustness and reliability
11.1. Introduction
11.2. IoT characteristics and reliability issues
11.3. Addressing reliability

12. Governing Internet of Things: issues, approaches, and new paradigms
12.1. Introduction
12.2. Background and related work
12.3. IoT governance
12.4. Future research directions
12.5. Conclusions

13. TinyTO: two-way authentication for constrained devices in the Internet of Things
13.1. Introduction
13.2. Security aspects and solutions
13.3. Design decisions
13.4. TinyTO protocol
13.5. Evaluation
13.6. Summary

14. Obfuscation and diversification for securing the internet of things (IoT)
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
15. Applied Internet of Things
15.1. Introduction
15.2. Scenario
15.3. Architecture overview
15.4. Sensors
15.5. The gateway
15.6. Data transmission
15.7. Conclusions

16. Internet of Vehicles and applications
16.1. Basics of IoV
16.2. Characteristics and challenges
16.3. Enabling technologies
16.4. Applications
16.5. Summary and future directions

17. Cloud-Based Smart-Facilities Management
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


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