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Full Description
The Cloud is an advanced and fast-growing technology in the current era. The computing paradigm has changed drastically. It provided a new insight into the computing world with new characteristics including on-demand, virtualization, scalability and many more. Utility computing, virtualization and service-oriented architecture (SoA) are the key characteristics of Cloud computing. The Cloud provides distinct IT services over the web on a pay-as-you-go and on-demand basis. Cloud Computing Technologies for Smart Agriculture and Healthcare covers Cloud management and its framework. It also focuses how the Cloud computing framework can be integrated with applications based on agriculture and healthcare.
Features:
Contains a systematic overview of the state-of-the-art, basic theories, challenges, implementation, and case studies on Cloud technology
Discusses of recent research results and future advancement in virtualization technology
Focuses on core theories, architectures, and technologies necessary to develop and understand the computing models and its applications
Includes a wide range of examples that uses Cloud technology for increasing farm profitability and sustainable production
Presents the farming industry with Cloud technology that allows it toaggregate, analyze, and share data across farms and the world
Includes Cloud-based electronic health records with privacy and security features
Offers suitable IT solutions to the global issues in the domain of agriculture and health care for society
This reference book is aimed at undergraduate and post-graduate programs. It will also help research scholars in their research work. This book also benefits like scientists, business innovators, entrepreneurs, professionals, and practitioners.
Contents
Section I: Cloud Management
Chapter 1. Virtualization Technology for Cloud-Based Services. Chapter 2. Hybrid Cloud Architecture for Better Cloud Interoperability. Chapter 3. Autoscaling Techniques for Web Applications in the Cloud. Chapter 4. Community Cloud Service Model for People with Special Needs
Section II: Cloud for Agriculture
Chapter 5. Sensor Applications in Agriculture - A Review. Chapter 6. Crop Biophysical Parameters Estimation using SAR Imagery for Precision Agriculture Applications. Chapter 7. Importance of Cloud Computing Technique in Agriculture Field Using Different Methodologies. Chapter 8. Optimal Clustering Scheme for Cloud Operations Management Over Mobile Ad Hoc Network of Crop Systems. Chapter 9. A Novel Hybrid Method for Cloud Security Using Efficient IDS for Agricultural Weather Forecasting Systems
Section III: Cloud for Healthcare
Chapter 10. Cloud Model for Real-Time Healthcare Services. Chapter 11. Cloud Computing-Based Smart Healthcare System. Chapter 12. Rehearsal of Cloud and IoT Devices in Health Care System. Chapter 13. Cloud-Based Diagnostic and Management Framework for Remote Health Monitoring. Chapter 14. Efficient Accessibility in Cloud Databases of Health Networks with Natural Neighbor Approach for RNN-DBSCAN. Chapter 15. Blood Oxygen Level And Pulse Rate Monitoring Using IoT and Cloud-Based Data Storage. Chapter 16. Parkinson Disease Prediction Model and Deployment on AWS Cloud. Chapter 17. Federated Learning for Brain Tumor Segmentation on the Cloud. Chapter 18. Smart System for COVID-19 Susceptibility Test and Prediction of Risk along with Validation of Guidelines Conformity using Cloud. Chapter 19. Designing of Policy Data Prediction Framework in Cloud for Trending COVID-19 Issues over Social Media
