This book provides an overview of the innovative concepts, methodologies and frameworks of fog computing. It discusses topics such as the basics of the fog computing to help readers understand the technology from ground up. It will be a readily accessible source of information for the researchers and professionals.
Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book's distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.
This book:
- Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics
- Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing
- Provides an assessment of Fog Computing and its applications in the field of IoT
- Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing
- Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing
- Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications
- Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT
Inhaltsverzeichnis
1. Fog Computing: Present and Future
2. Fog Computing: Foundation and Outline
3. The Use of Machine Learning in Fog Computing
4. Application of Machine Learning in Fog Computing
5. Simulation and Modeling Tools for Fog Computing
6. Security and Privacy Issues in Fog Computing
7. Leveraging Fog Computing for the Internet of Medical Things
8. A Single-Point Control System for Consumer Devices Using Edge-Fog Computing
9. Fog Computing: A Peek into Communication Security
10. Fog Computing and Machine Learning
11. Communication Protocols in Fog Computing: A Survey and Challenges
12. Fog Computing, Today and in the Future with IoT
13. Integration and Application of Fog, IoT and Edge Computing
14. The Role of Block Chain in Fog Computing
15. Fog Computing Framework: Mitigating Latency in Supply Chain Management
