Internet of Things Principles and Paradigms
Coordonnateurs : Buyya Rajkumar, Vahid Dastjerdi Amir
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.
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
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 receiv
- 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
Date de parution : 05-2016
Ouvrage de 378 p.
19x23.4 cm
Thèmes d’Internet of Things :
Mots-clés :
accountability; AMQP; Apache STORM; architecture; attacks; authentication; authorization; beacons; Big Data; Cloud; Cloud Computing; Cloud of Things; cloud-based management of sensor-equipped bridges; cloud-based research platform; cloud-based smart-facilities management; clustering ellipsoids; collaborative; Complex Event Processing; confidentiality; constrained devices; coordination languages for IoT; Cyber-Physical Systems (CPS); data integrity; distributed anomaly detection; diversification; domotic; Edge Computing; eHealth; Elliptic Curve Cryptography (ECC); embedded software; encryption; end-to-end-security; energy efficiency; enterprise network management; failure detection; failure prevention; fault-tolerance; Fog Computing; governance; IEEE 802.11p; incremental data capture anomaly detection; incremental modeling; information dissemination; intelligence applications; intelligent transportation systems; Internet governance; Internet of Things (IoT); Internet of Vehicles; IoT; IoT and smart cities; IoT applications; IoT programming; lightweight cryptography; management of cyber-physical systems; MapReduce with deadlines; message-passing frameworks; Micro Virtual Machines (MicroVM); multistakeholder model; obfuscation; Polyglot programming; Precision Agriculture (PA); privacy; privacy protection; protocols; real-time analytics; real-time systems software; recovery oriented computing; reliability; Resource Management; resource management on clouds; resource management on wireless sensor networks; routing protocols; Scheduling; security; Semantic Sensor Networks (SSN); Sensor Observation Service (SOS); Sensor Web Enablement (SWE); Sensors; Service Bus; Smart Networked Systems and Societies; smart surveillance; smart-facility management; SPARQL; stream processing; threats; two-way authentication; vehicular ad hoc network; virtualization; weather sensors; Web of Things; Wireless Sensor Network (WSN)
