320 pages | 80 B/W Illus.
This book is presents academic and practical research in IoT and big data. With contributions from both practitioners and academic researchers, the book examines new technology and compares it to existing technology. Experimental case studies are related to real-time scenarios. The book:
The Internet of Things and Big Data Analytics: Integrated Platforms and Industry Use Cases examines how to meet multiple challenges in the integration of IoT and Big Data. The device ecosystem is growing steadily. It is forecast that there will be billions of connected devices in the years to unfold. Then there is another set of edge and fog devices. When these IoT devices, resource-constrained as well as resource-intensive, interact with one another locally and remotely, the amount of multi-structured data generated, collected, and stored is bound to grow exponentially. Another prominent trend is the integration between IoT devices with cloud-based applications, services, infrastructures, middleware solutions, and databases. The book examines pioneering technologies and tools emerging and evolving in order to capture, cleanse and crunch data heaps in order to extricate actionable insights.
1. Introduction of IoT and Big Data. 2. Network Architecture and System Design for IoT and Big Data. 3. Big Data Retrieval, Processing, and Analytics. 4. Sustainability of IoT for Data Management in Smart Society. 5. Security Configurations. 6. Big Data Models and Solutions for IoT Applications. 7. Secure Smart Applications in IoT. 8. Data Management, Data Fusion, and Big Data for IoT Systems. 9. Legal, Ethical, and Social Issues. 10. State-of-the-Art Frameworks for Future generation of IoT and Big Data.