Machine Learning Approach for Cloud Data Analytics in IoT. Группа авторов

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Machine Learning Approach for Cloud Data Analytics in IoT - Группа авторов


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      12  7 Issues and Challenges of Classical Cryptography in Cloud Computing 7.1 Introduction 7.2 Cryptography 7.3 Security in Cloud Computing 7.4 Classical Cryptography for Cloud Computing 7.5 Homomorphic Cryptosystem 7.6 Implementation 7.7 Conclusion and Future Scope References

      13  8 Cloud-Based Data Analytics for Monitoring Smart Environments 8.1 Introduction 8.2 Environmental Monitoring for Smart Buildings 8.3 Smart Health 8.4 Digital Network 5G and Broadband Networks 8.5 Emergent Smart Cities Communication Networks 8.6 Smart City IoT Platforms Analysis System 8.7 Smart Management of Car Parking in Smart Cities 8.8 Smart City Systems and Services Securing: A Risk-Based Analytical Approach 8.9 Virtual Integrated Storage System 8.10 Convolutional Neural Network (CNN) 8.11 Challenges and Issues 8.12 Future Trends and Research Directions in Big Data Platforms for the Internet of Things 8.13 Case Study 8.14 Conclusion References

      14  9 Performance Metrics for Comparison of Heuristics Task Scheduling Algorithms in Cloud Computing Platform 9.1 Introduction 9.2 Workflow Model 9.3 System Computing Model 9.4 Major Objective of Scheduling 9.5 Task Computational Attributes for Scheduling 9.6 Performance Metrics 9.7 Heuristic Task Scheduling Algorithms 9.8 Performance Analysis and Results 9.9 Conclusion References

      15  10 Smart Environment Monitoring Models Using Cloud-Based Data Analytics: A Comprehensive Study 10.1 Introduction 10.2 Background and Motivation 10.3 Conclusion References

      16  11 Advancement of Machine Learning and Cloud Computing in the Field of Smart Health Care 11.1 Introduction 11.2 Survey on Architectural WBAN 11.3 Suggested Strategies 11.4 CNN-Based Image Segmentation (UNet Model) 11.5 Emerging Trends in IoT Healthcare 11.6 Tier Health IoT Model 11.7 Role of IoT in Big Data Analytics 11.8 Tier Wireless Body Area Network Architecture 11.9 Conclusion References

      17  12 Study on Green Cloud Computing—A Review 12.1 Introduction 12.2 Cloud Computing 12.3 Features of Cloud Computing 12.4 Green Computing 12.5 Green Cloud Computing 12.6 Models of Cloud Computing 12.7 Models of Cloud Services 12.8 Cloud Deployment Models 12.9 Green Cloud Architecture 12.10 Cloud Service Providers 12.11 Features of Green Cloud Computing 12.12 Advantages of Green Cloud Computing 12.13 Limitations of Green Cloud Computing 12.14 Cloud and Sustainability Environmental 12.15 Statistics Related to Cloud Data Centers 12.16 The Impact of Data Centers on Environment 12.17 Virtualization Technologies 12.18 Literature Review


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