BOOKS - Integration of Cloud Computing and IoT Trends, Case Studies and Applications
Integration of Cloud Computing and IoT Trends, Case Studies and Applications - Prabh Deep Singh, Mohit Angurala 2025 PDF CRC Press BOOKS
2 TON

Views
56676

Telegram
 
Integration of Cloud Computing and IoT Trends, Case Studies and Applications
Author: Prabh Deep Singh, Mohit Angurala
Year: 2025
Format: PDF
File size: 15.6 MB
Language: ENG



Pay with Telegram STARS
The book "Integration of Cloud Computing and IoT Trends Case Studies and Applications" explores the integration of cloud computing and Internet of Things (IoT) trends, providing readers with real-world case studies and applications that demonstrate the power of this combination. The book covers topics such as edge computing, fog computing, and the role of artificial intelligence in IoT and cloud computing. It also discusses the challenges and opportunities presented by these emerging technologies and how they can be used to improve our lives. The book begins with an introduction to cloud computing and IoT, explaining their importance and relevance in today's digital age. It then delves into the various applications of these technologies, including smart cities, industrial automation, and healthcare. The authors highlight the potential benefits of integrating cloud computing and IoT, such as increased efficiency, reduced costs, and improved decision-making. They also explore the challenges associated with implementing these technologies, such as security concerns and data privacy issues. One of the key themes of the book is the need for interdisciplinary collaboration between technology experts and other stakeholders to ensure successful implementation of cloud computing and IoT solutions. The authors emphasize the importance of understanding the needs of end-users and tailoring solutions to meet those needs. They also stress the need for ongoing research and development to keep pace with rapidly evolving technology trends.
Книга «Интеграция облачных вычислений и тенденций Интернета вещей. Примеры и приложения» исследует интеграцию облачных вычислений и тенденций Интернета вещей, предоставляя читателям реальные примеры и приложения, которые демонстрируют мощь этой комбинации. Книга охватывает такие темы, как edge computing, fog computing и роль искусственного интеллекта в IoT и облачных вычислениях. В нем также обсуждаются проблемы и возможности, предоставляемые этими новыми технологиями, и способы их использования для улучшения нашей жизни. Книга начинается с введения в облачные вычисления и IoT, объясняющего их важность и актуальность в современную цифровую эпоху. Затем он углубляется в различные применения этих технологий, включая умные города, промышленную автоматизацию и здравоохранение. Авторы подчеркивают потенциальные преимущества интеграции облачных вычислений и интернета вещей, такие как повышение эффективности, снижение затрат и улучшение процесса принятия решений. Они также изучают проблемы, связанные с внедрением этих технологий, такие как проблемы безопасности и конфиденциальности данных. Одной из ключевых тем книги является необходимость междисциплинарного сотрудничества между экспертами в области технологий и другими заинтересованными сторонами для обеспечения успешного внедрения облачных вычислений и решений для Интернета вещей. Авторы подчеркивают важность понимания потребностей конечных пользователей и адаптации решений для удовлетворения этих потребностей. Они также подчеркивают необходимость постоянных исследований и разработок, чтобы идти в ногу с быстро развивающимися технологическими тенденциями.
''

You may also be interested in:

Integration of IoT with Cloud Computing for Smart Applications (Chapman and Hall CRC Cloud Computing for Society 5.0)
Integration of Cloud Computing and IoT Trends, Case Studies and Applications
Integration of Cloud Computing and IoT Trends, Case Studies and Applications
Integration of Cloud Computing with Internet of Things Foundations, Analytics and Applications (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
Fog Computing for Intelligent Cloud IoT Systems (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
The Next Generation Innovation in IoT and Cloud Computing with Applications
Fog Computing for Intelligent Cloud IoT Systems
The Next Generation Innovation in IoT and Cloud Computing with Applications
Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing: Fundamentals, Challenges and Applications (IoT and Big Data Analytics)
Cloud Computing Demystified for Aspiring Professionals: Hone your skills in AWS, Azure, and Google cloud computing and boost your career as a cloud engineer
IoT and Cloud Computing Advancements in Vehicular Ad-Hoc Networks
Big-Data Analytics for Cloud, IoT and Cognitive Computing
Authentication Technologies for Cloud Computing, IoT and Big Data
Integration of Cloud Computing with Emerging Technologies Issues, Challenges, and Practices
Integration of Cloud Computing with Emerging Technologies Issues, Challenges, and Practices
Service-Oriented Computing and System Integration Software, IoT, Big Data, and AI as Services 8th Edition
Hybridization of Blockchain and Cloud Computing Overcoming Security Issues in IoT
Hybridization of Blockchain and Cloud Computing: Overcoming Security Issues in IoT
Social, Legal, and Ethical Implications of IoT, Cloud, and Edge Computing Technologies
Cloud Computing Simplified Explore Application of Cloud, Cloud Deployment Models, Service Models and Mobile Cloud Computing
Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing Fundamentals, Challenges and Applications
Industry 4.0 Convergence with AI, IoT, Big Data and Cloud Computing Fundamentals, Challenges and Applications
Secure Edge Computing for IoT Master Security Protocols, Device Management, Data Encryption, and Privacy Strategies to Innovate Solutions for Edge Computing in IoT
Secure Edge Computing for IoT Master Security Protocols, Device Management, Data Encryption, and Privacy Strategies to Innovate Solutions for Edge Computing in IoT
Secure Edge Computing for IoT: Master Security Protocols, Device Management, Data Encryption, and Privacy Strategies to Innovate Solutions for Edge Computing in IoT (English Edition)
The basics of cloud computing understanding the fundamentals of cloud computing in theory and practice
Soft Computing Principles and Integration for Real-Time Service-Oriented Computing
Soft Computing Principles and Integration for Real-Time Service-Oriented Computing
Soft Computing Principles and Integration for Real-Time Service-Oriented Computing
A Practical Guide to SAP Integration Suite: SAP|s Cloud Middleware and Integration Solution
Agricultural Informatics Automation Using the IoT and Machine Learning (Advances in Learning Analytics for Intelligent Cloud-IoT Systems)
Zen of Cloud Learning Cloud Computing by Examples, 2nd Edition
Collection Management in the Cloud: A Guide for Using Cloud Computing Technologies in Libraries (LITA Guides)
Federal Cloud Computing The Definitive Guide for Cloud Service Providers, 2nd Edition
CompTIA Cloud+ Guide to Cloud Computing, 2nd Edition
The Cloud Computing Journey: Design and deploy resilient and secure multi-cloud systems with practical guidance
Cloud Computing Fundamentals: Learn the Latest Cloud Technology and Architecture with Real-World Examples and Applications
CompTIA Cloud+ Guide to Cloud Computing
Blockchain and IoT Integration Approaches and Applications
Integration of MTC and Satellites for IoT toward 6G Era