Bio-Inspired Optimization in Fog and Edge Computing Environments : Principles, Algorithms, and Systems (Paperback)

1. Introduction to Optimization in Fog Computing. 2. Open Issues and Challenges in Fog and Edge. 3. Future Challenges of Fog and Edge Computing Applications. 4. Geographic Information Systems-Based Modeling of Healthcare Data and its Optimization using Various Approaches. 5. Application of Optimization Techniques in Cloud Resource Management. 6. Use of Fog Computing in Healthcare. 7. Fog Computing for Agriculture Application and its Issues. 8. Fog Computing and Vehicular Networks for Smart Traffic Control: Fog Computing-Based Cognitive Analytics Model for Smart Traffic Control. 9. Virtualization Concepts and Industry Standards in Cloud Computing. 10. Optimized Cloud Storage Data Analysis using the Machine Learning Model. 11. Resource Management in Fog Computing Environment using Optimal Fog Network Topology. 12. Applications of Fog in Healthcare Services. 13. Roles and Future of Internet of Things-Based Smart Healthcare Models.