Cloud of Things

Foundations, Applications, and Challenges

Jitendra Kumar, G. R. Gangadharan, Ashutosh Kumar Singh, Chung-Nan Lee, Jitendra Kumar, G. R. Gangadharan, Ashutosh Kumar Singh, Chung-Nan Lee

• Publisher: Chapman and Hall/CRC
• Year: 2024
• ISBN:
  9781040089309
• Edition: 1
• Topic: Informatik
• Subtopic: Computertechnik

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.

Table of contents

• 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