Fog Computing. Группа авторов

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СКАЧАТЬ rel="nofollow" href="#ulink_1a1f3a2d-7bd8-5182-a7e8-7062e81e2a87">9.6 Fog-assisted Runtime Energy Management in Wearable Sensors 9.7 Conclusions Acknowledgment References 10 Latency Minimization Through Optimal Data Placement in Fog Networks 10.1 Introduction 10.2 Related Work 10.3 Problem Statement 10.4 Delay Minimization Without Replication 10.5 Delay Minimization with Replication 10.6 Performance Evaluation 10.7 Conclusion Acknowledgement References 11 Modeling and Simulation of Distributed Fog Environment Using FogNetSim++ 11.1 Introduction 11.2 Modeling and Simulation 11.3 FogNetSim++: Architecture 11.4 FogNetSim++: Installation and Environment Setup 11.5 Conclusion References

      5  Part II: Fog Computing Techniques and Applications 12 Distributed Machine Learning for IoT Applications in the Fog 12.1 Introduction 12.2 Challenges in Data Processing for IoT 12.3 Computational Intelligence and Fog Computing 12.4 Challenges for Running Machine Learning on Fog Devices 12.5 Approaches to Distribute Intelligence on Fog Devices 12.6 Final Remarks Acknowledgments References 13 Fog Computing-Based Communication Systems for Modern Smart Grids 13.1 Introduction 13.2 An Overview of Communication Technologies in Smart Grid 13.3 Distribution Management System (DMS) Based on Fog/Cloud Computing 13.4 Real-time Simulation of the Proposed Feeder-based Communication Scheme Using MATLAB and ThingSpeak 13.5 Conclusion References 14 An Estimation of Distribution Algorithm to Optimize the Utility of Task Scheduling Under Fog Computing Systems 14.1 Introduction 14.2 Estimation of Distribution Algorithm 14.3 Related Work 14.4 Problem Statement 14.5 Details of Proposed Algorithm 14.6 Simulation 14.7 Conclusion References 15 Reliable and Power-Efficient Machine Learning in Wearable Sensors 15.1 Introduction 15.2 Preliminaries and Related Work 15.3 System Architecture and Methods 15.4 Data Collection and Experimental Procedures 15.5 Results 15.6 Discussion and Future Work 15.7 Summary References 16 Insights into Software-Defined Networking and Applications in Fog Computing 16.1 Introduction 16.2 OpenFlow Protocol 16.3 SDN-Based Research Works 16.4 SDN in Fog Computing 16.5 SDN in Wireless Mesh Networks 16.6 SDN in Wireless Sensor Networks 16.7 Conclusion References 17 Time-Critical Fog Computing for Vehicular Networks 17.1 Introduction 17.2 Applications and Timeliness Guarantees and Perturbations 17.3 Coping with Perturbation to Meet Timeliness Guarantees 17.4 Research Gaps and Future Research Directions 17.5 Conclusion References 18 A Reliable and Efficient Fog-Based Architecture for Autonomous Vehicular Networks 18.1 Introduction 18.2 СКАЧАТЬ