Singh P.D., Angurala M. (eds.) Integration of Cloud Computing and IoT: Trends, Case Studies and Applications

CRC Press, 2025. — 525 p. — (Emerging Technologies: Research and Practical Applications). — ISBN: 978-1-032-65668-7.This book presents cutting-edge research, advanced techniques, and practical applications of the integration of Cloud Computing and the Internet of Things (IoT). It explores the practical challenges associated with the development and deployment of Cloud Computing and IoT-based solutions, including security, privacy, and interoperability issues. It includes various case studies, including Smart Cities, Network Security, Healthcare, Smart Urban Sensing, Agriculture, Mining, Railways, and Crime Investigations. It offers in-depth insights, developments, and practical applications, showcasing helpful tools and techniques in IoT and Cloud Computing.Integration of Cloud Computing and IoT: Trends, Case Studies, and Applications explores the transformative landscape of Cloud Computing and the Internet of Things (IoT) across various domains. As editors, we intend to present a holistic view of this dynamic integration, offering readers insights into the evolving trends, real-world applications, and the profound impact it has on diverse sectors.The foundational chapters lay the groundwork by elucidating fundamental concepts and architecture design in Cloud Computing. These serve as a primer for readers, ensuring a solid understanding before delving into the specialized applications explored in subsequent sections. The book starts with the basics of Cloud Computing and IoT, exploring their integration in agriculture, healthcare, transport, railways, and smart systems. It highlights advancements in wildlife conservation, underwater communication, and healthcare, emphasizing the role of AI and Machine Learning. The book later focuses on education, showcasing the transformation of traditional learning through these technologies.Fog Computing emerges as a key theme, with dedicated chapters providing a comprehensive review of recent trends, challenges, and case studies. The future of Cloud Computing is examined, with a special focus on the paradigm shift facilitated by Fog Computing. As we progress, the book investigates the profound impact of Cloud and IoT integration in the education industry, underscoring its role in shaping the future of learning and knowledge acquisition. The exploration concludes with a deep dive into sustainable marketing and retailing, revealing how Cloud Computing and IoT are not just technological enablers but also catalysts for sustainable business practices.Key FeaturesProvide a comprehensive and accessible resource that covers a broad range of topics on the integration of Cloud Computing and IoT.
Shows how Cloud Computing and IoT are applied to various challenging situations.
Covers in-depth inference of Cloud Computing and IoT to real-world issues, which will assist the industrial sector in growth.
Includes discussion of how robust privacy solutions are important to enable effective integration between Cloud Computing and IoT-based applications.
Offers case studies and real-life examples from various.Fundamental Concepts of Cloud Computing.
Fundamental Concepts of IoT.
Sustainable Marketing and Retailing: A Cloud Computing and Internet of Things (IoT) Approach.
Embedded IoT, Cloud, and Deep Neural Network-based Stress Prediction System Using Facial Expressions.
Cloud IoT in Healthcare Transforming Patient Monitoring and Data Analytics.
Cloud-Internet of Things in Smart Healthcare Systems.
Bridging the Gap: Harnessing Cloud Computing and IoT for Wildlife Conservation.
Smart Farming Solutions: Unveiling the Power of Cloud-IoT Integration.
Cloud-IoT Applications in Agriculture.
Cloud IoT in Railways.
Cloud IoT in Railways: Advancements, Challenges, and Future Prospects.
Cloud IoT Integration for Enhanced Underwater Communication.
Integration and Applications of Cloud IoT in the Education Sector.
Cloud-IoT in Underwater Communication.
Connecting the Future: Cloud-Based IoT in Education.
The Future of Cloud Computing: A Paradigm Shift with Fog Computing.
Cloud Computing Architecture: Design, Models, and Implementations.
Integrating Cloud, IoT, and Artificial Intelligence.
Enhancing IoT with Cloud-Based Machine Learning: A Comprehensive Integration.
The Convergence of Cloud, IoT, and Artificial Intelligence for Intelligent Systems.
A Comprehensive Overview of Cloud Computing and IoT Integration: Trends and Real-world Applications.
Applications and Challenges of the Integration of the Internet of Things with the Cloud.
Cloud Computing, IoT and Machine Learning Techniques for Detection and Classification of Tomato Plants Diseases Due to Pests.
The Impact of Cloud and IoT Integration in the Education Industry.
Integration of Artificial Intelligence and Internet of Things in the Banking Sector: A Convergence of Frontiers.
From Data to Decisions: Cloud, IoT, and AI Integration.
Comprehensive Review of Recent Trends, Challen.