Fog Computing: Theory and Practice

Part I: Fog Computing Systems and Architectures Ch 1 Mobile Fog Computing: Architectures, Approaches and Open Challenges Satish Narayana Srirama Ch 2 Edge Devices: A Survey, Use Cases and Future Challenges Cosmin Avasalcai Ch 3 Deep Learning in the Era of Edge Computing: Opportunities and Challenges Mi Zhang Ch 4 Caching, Security, and Mobility in Content Centric Networking Osman Khalid Ch 5 Security and Privacy Issues in Fog Computing Hasan Ali Khattak Ch 6 How Fog Computing Can Support Latency/Reliability-sensitive IoT Applications: An Overview and a Taxonomy of State-of-the-Art Solutions Sajal Das Ch 7 Harnessing the Computing Continuum for Programming Our World Jack Dongara Ch 8 Fog Computing for Energy Harvesting-Enabled Internet of Things George K. Karagiannidis Ch 9 Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control Delaram Amiri Ch 10 Latency Minimization Through Optimal Data Placement in Fog Computing Ning Wang Ch 11 Modeling and Simulation of Distributed Fog Environment using FogNetSim++ Asad W. Malik Part II: Fog Computing Techniques and Application Ch 12 Distributed Machine Learning for IoT applications in the Fog Flavia Delicato Ch 13 Fog Computing based Communication Systems for Modern Smart Grids Mirjana Maksimovic Ch 14 An Estimation of Distribution Algorithm to Optimize the Utility of Task Scheduling under Fog Computing System Chu-ge Wu Ch 15 Reliable and Power-Efficient Machine Learning in Wearable Sensors Parastoo Alinia Ch 16 Insights into Software Defined Networking and Applications in Fog Computing Osman Khalid Ch 17 Time-Critical Fog Computing for Vehicular Networks Neeraj Suri, Chebaane Ahmed Ch 18 A Reliable and Efficient Fog-based Architecture for Autonomous Vehicular Networks Shuja Mughal Ch 19 Fog Computing to enable Geospatial Video Analytics for Disaster-incident Situational Awareness Prasad Calyam Ch 20 An Insight into 5G Networks with Fog Computing Osman Khalid Ch 21 Fog Computing for Bioinformatics Problems Usman Habib