Fog Computing. Группа авторов

      

      Table of Contents

      1  Cover

      2  List of Contributors

      3  Acronyms

      4  Part I: Fog Computing Systems and Architectures 1 Mobile Fog Computing 1.1 Introduction 1.2 Mobile Fog Computing and Related Models 1.3 The Needs of Mobile Fog Computing 1.4 Communication Technologies 1.5 Nonfunctional Requirements 1.6 Open Challenges 1.7 Conclusion Acknowledgment References 2 Edge and Fog: A Survey, Use Cases, and Future Challenges 2.1 Introduction 2.2 Edge Computing 2.3 Fog Computing 2.4 Fog and Edge Illustrative Use Cases 2.5 Future Challenges 2.6 Conclusion Acknowledgment References 3 Deep Learning in the Era of Edge Computing: Challenges and Opportunities 3.1 Introduction 3.2 Challenges and Opportunities 3.3 Concluding Remarks References 4 Caching, Security, and Mobility in Content-centric Networking 4.1 Introduction 4.2 Caching and Fog Computing 4.3 Mobility Management in CCN 4.4 Security in Content-centric Networks 4.5 Caching 4.6 Conclusions References 5 Security and Privacy Issues in Fog Computing 5.1 Introduction 5.2 Trust in IoT 5.3 Authentication 5.4 Authorization 5.5 Privacy 5.6 Web Semantics and Trust Management for Fog Computing 5.7 Discussion 5.8 Conclusion References 6 How Fog Computing Can Support Latency/Reliability-sensitive IoT Applications: An Overview and a Taxonomy of State-of-the-art Solutions 6.1 Introduction 6.2 Fog Computing for IoT: Definition and Requirements 6.3 Fog Computing: Architectural Model 6.4 Fog Computing for IoT: A Taxonomy 6.5 Comparisons of Surveyed Solutions 6.6 Challenges and Recommended Research Directions 6.7 Concluding Remarks References 7 Harnessing the Computing Continuum for Programming Our World 7.1 Introduction and Overview 7.2 Research Philosophy 7.3 A Goal-oriented Approach to Programming the Computing Continuum 7.4 Summary References 8 Fog Computing for Energy Harvesting-enabled Internet of Things 8.1 Introduction 8.2 System Model 8.3 Tradeoffs in EH Fog Systems 8.4 Future Research Challenges Acknowledgment References 9 Optimizing Energy Efficiency of Wearable Sensors Using Fog-assisted Control 9.1 Introduction 9.2 Background 9.3 Related Topics 9.4 Design Challenges 9.5 IoT System Architecture 9.6 Fog-assisted Runtime Energy Management in Wearable Sensors