Book description
A comprehensive guide to Fog and Edge applications, architectures, and technologies
Recent years have seen the explosive growth of the Internet of Things (IoT): the internet-connected network of devices that includes everything from personal electronics and home appliances to automobiles and industrial machinery. Responding to the ever-increasing bandwidth demands of the IoT, Fog and Edge computing concepts have developed to collect, analyze, and process data more efficiently than traditional cloud architecture.
Fog and Edge Computing: Principles and Paradigms provides a comprehensive overview of the state-of-the-art applications and architectures driving this dynamic field of computing while highlighting potential research directions and emerging technologies.
Exploring topics such as developing scalable architectures, moving from closed systems to open systems, and ethical issues rising from data sensing, this timely book addresses both the challenges and opportunities that Fog and Edge computing presents. Contributions from leading IoT experts discuss federating Edge resources, middleware design issues, data management and predictive analysis, smart transportation and surveillance applications, and more. A coordinated and integrated presentation of topics helps readers gain thorough knowledge of the foundations, applications, and issues that are central to Fog and Edge computing. This valuable resource:
- Provides insights on transitioning from current Cloud-centric and 4G/5G wireless environments to Fog Computing
- Examines methods to optimize virtualized, pooled, and shared resources
- Identifies potential technical challenges and offers suggestions for possible solutions
- Discusses major components of Fog and Edge computing architectures such as middleware, interaction protocols, and autonomic management
- Includes access to a website portal for advanced online resources
Fog and Edge Computing: Principles and Paradigms is an essential source of up-to-date information for systems architects, developers, researchers, and advanced undergraduate and graduate students in fields of computer science and engineering.
Table of contents
- Cover
- List of Contributors
- Preface
- Acknowledgments
-
Part I: Foundations
- 1 Internet of Things (IoT) and New Computing Paradigms
- 2 Addressing the Challenges in Federating Edge Resources
- 3 Integrating IoT + Fog + Cloud Infrastructures: System Modeling and Research Challenges
- 4 Management and Orchestration of Network Slices in 5G, Fog, Edge, and Clouds
-
5 Optimization Problems in Fog and Edge Computing
- 5.1 Introduction
- 5.2 Background / Related Work
- 5.3 Preliminaries
- 5.4 The Case for Optimization in Fog Computing
- 5.5 Formal Modeling Framework for Fog Computing
- 5.6 Metrics
- 5.7 Optimization Opportunities along the Fog Architecture
- 5.8 Optimization Opportunities along the Service Life Cycle
- 5.9 Toward a Taxonomy of Optimization Problems in Fog Computing
- 5.10 Optimization Techniques
- 5.11 Future Research Directions
- 5.12 Conclusions
- Acknowledgments
- References
-
Part II: Middlewares
- 6 Middleware for Fog and Edge Computing: Design Issues
- 7 A Lightweight Container Middleware for Edge Cloud Architectures
- 8 Data Management in Fog Computing
- 9 Predictive Analysis to Support Fog Application Deployment
- 10 Using Machine Learning for Protecting the Security and Privacy of Internet of Things (IoT) Systems
-
Part III: Applications and Issues
- 11 Fog Computing Realization for Big Data Analytics
-
12 Exploiting Fog Computing in Health Monitoring
- 12.1 Introduction
- 12.2 An Architecture of a Health Monitoring IoT‐Based System with Fog Computing
- 12.3 Fog Computing Services in Smart E‐Health Gateways
- 12.4 System Implementation
- 12.5 Case Studies, Experimental Results, and Evaluation
- 12.6 Discussion of Connected Components
- 12.7 Related Applications in Fog Computing
- 12.8 Future Research Directions
- 12.9 Conclusions
- References
- 13 Smart Surveillance Video Stream Processing at the Edge for Real‐Time Human Objects Tracking
-
14 Fog Computing Model for Evolving Smart Transportation Applications
- 14.1 Introduction
- 14.2 Data‐Driven Intelligent Transportation Systems
- 14.3 Mission‐Critical Computing Requirements of Smart Transportation Applications
- 14.4 Fog Computing for Smart Transportation Applications
- 14.5 Case Study: Intelligent Traffic Lights Management (ITLM) System
- 14.6 Fog Orchestration Challenges and Future Directions
- 14.7 Future Research Directions
- 14.8 Conclusions
- References
- 15 Testing Perspectives of Fog‐Based IoT Applications
- 16 Legal Aspects of Operating IoT Applications in the Fog
- 17 Modeling and Simulation of Fog and Edge Computing Environments Using iFogSim Toolkit
- Index
- End User License Agreement
Product information
- Title: Fog and Edge Computing
- Author(s):
- Release date: January 2019
- Publisher(s): Wiley
- ISBN: 9781119524984
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