- 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
Fog and Edge Computing
Principles and Paradigms
Edited by Rajkumar Buyya and Satish Narayana Srirama
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