Fog Computing in the Internet of Things Intelligence at the Edge [Hardcover]

This book describes state-of-the-art approaches to Fog Computing, including the background of innovations achieved in recent years. Coverage includes various aspects of fog computing architectures for Internet of Things, driving reasons, variations and case studies. The authors discuss in detail key topics, such as meeting low latency and real-time requirements of applications, interoperability, federation and heterogeneous computing, energy efficiency and mobility, fog and cloud interplay, geo-distribution and location awareness, and case studies in healthcare and smart space applications.

Part I. Introduction on Fog Computing.- Chapter 1.Fog Computing Fundamentals in The Internet-of-Things.- Part II. Management at the Fog layer.- Chapter 2. Fog Computing Dynamic Resource Estimation for Internet-of-Things.- Chapter 3. Tackling Ultra Large Scale Systems in The Internet-of-Things.- Part III. Services of the Fog layer.- Chapter 4. Next Generation Frameworks for Privacy-Preserving Analytics.- Chapter 5.Self-Aware Fog Computing in Private and Secure Spheres.- Chapter 6. Urban Internet-of-Things Edge Analytics.- Part IV. Application Use-Cases.- Chapter 7. Control-as-a-Service in Cyber-Physical Energy Systems over Fog Computing.- Chapter 8. Leveraging the Fog Computing for Healthcare Internet-of-Things.

The book is central to the understanding and advanced study of fog computing. It follows an effective model, based on eight scientific papers of a very high level, and is suitable for readers who want an introduction to the area, according to an organization inspired by the Open Systems Interconnection (OSI) stack. (Joao Orvalho, Computing Reviews, May, 2018)

Amir. M. Rahmani is currently an EU Marie Curie Global Fellow at University of California Irvine, USA, and TU Wien, Austria. He is also adjunct professor (Docent) in embedded parallel and distributed computing at University of Turku, Finland. He receiveló²