Cloud computing is the on-demand availability of computer system resources, especially data storage and computing power, without direct active management by the user. This book explores algorithms, protocols, and system design principles of key smart technologies including cloud computing and the internet of things.

• Discusses the system design principles in cloud computing along with artificial intelligence, machine learning, and data analytics applications

• Presents blockchain-based solutions, cyber-physical system applications, and deep learning approaches to solving practical problems

• Highlights important concepts including the cloud of things architecture, cloud service management and virtualization, and resource management techniques

• Covers advanced technologies including fog computing, edge computing, and distributed intelligence

• Explores cloud-enabling technology, broadband networks and internet architecture, internet service providers (ISPs), and connectionless packet switching.

The book is primarily written for graduate students, academic researchers, and professionals in the field of computer science and engineering, electrical engineering, and information technology.

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Yes, you can access Cloud of Things by Jitendra Kumar, G. R. Gangadharan, Ashutosh Kumar Singh, Chung-Nan Lee, Jitendra Kumar,G. R. Gangadharan,Ashutosh Kumar Singh,Chung-Nan Lee in PDF and/or ePUB format, as well as other popular books in Computer Science & Cloud Computing. We have over one million books available in our catalogue for you to explore.

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Index

Cover
Half-Title Page
Title Page
Copyright Page
Table of Contents
About the Editors
List of Contributors
Chapter 1 Cloud of Things: Architecture and Industrial Applications
Chapter 2 Development of Digital Twin System for Cloud of Things
Chapter 3 A Critical Analysis of Enhanced Virtual Machine Selection and Planning Using Statistical Approaches in Cloud Data Centers
Chapter 4 An Analysis of Security and Privacy in Cloud and IoT
Chapter 5 CoT in Smart Cities
Chapter 6 BGLMC: A Bidirectional GRU-Based Learning Model for Cloud-Computing Resource Workloads Forecasting
Chapter 7 Study on Cost-Effective Solutions for Big Data Processing in the Cloud of Things
Chapter 8 Phishing Attack Detection for Cloud-Based Environment Using Hybrid Machine Learning Model
Chapter 9 Toward the Sustainable Development of Smart Cities through Cloud of Things
Chapter 10 Data-Level Cyber Deception in Cloud of Things: Prospects, Issues, and Challenges
Chapter 11 AI-Based Mass Screening Using Cloud-Based EHR and CXR: An Implication for India’s National Strategic Plan to End Tuberculosis
Chapter 12 Defending Medicare: Unleashing the Power of Anti-Vortex Technology against Hackers in Cloud Environment
Chapter 13 An Automated Approach for Migration of Microservices-Based Applications to Serverless Architecture
Chapter 14 Cloud Defender: Developing a Machine Learning Framework for Real-Time Detection and Mitigation of DDoS Attacks in Cloud Computing Environments
Chapter 15 GBDT-Based Approach for DDoS Attack Prevention in SDN-Based Cloud Virtual Machine
Chapter 16 Cloud-Based Decentralized Freelancing Marketplace
Chapter 17 Poisson-Based Energy Hole Prediction (PBEHP) for Voronoi Wireless Multimedia Sensor Network
Chapter 18 A Viral Decoy Environment for Ransomware Defense
Chapter 19 CouPLeD: Cloud-Enabled Artificial Neural Network Framework for Plant Leaf Disease Detection
Chapter 20 Concerns, Threats, and Ethical Considerations in Using Cloud of Things
Index

About this book

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Table of contents