Smart Edge Computing

Name: Smart Edge Computing | An Operation Research Perspective
Brand: Wiley
Price: 142.99 EUR
Availability: OnlineOnly

An Operation Research Perspective

Rajdeep Chakraborty Anupam Ghosh Jyotsna Kumar Mandal Tanupriya Choudhury Prasenjit Chatterjee(Herausgeber*in)

Wiley (Verlag)

1. Auflage

Erschienen am 13. Februar 2024

272 Seiten

E-Book

PDF mit Adobe-DRM

Systemvoraussetzungen

978-1-394-27757-5 (ISBN)

142,99 €inkl. 7% MwSt.

Systemvoraussetzungen

für PDF mit Adobe-DRM

E-Book Einzellizenz

Als Download verfügbar

Beschreibung

Weitere Details

Weitere Ausgaben

Personen

Inhalt

Cover
Title Page
Copyright Page
Contents
Preface
Acknowledgments
Chapter 1. Introduction to Operations Research Methodologies
1.1. Introduction
1.2. Decision-making framework/models for operations research
1.3. Operations research in IoT, IIoT, edge and smart edge computing, sensor data
1.4. Paradigms and procedures
1.5. Conclusion
1.6. References
Chapter 2. Edge Computing: The Foundation, Emergence and Growing Applications
2.1. Introduction
2.2. Objective of the work
2.3. Methods adopted
2.4. Edge computing and edge cloud: basics
2.5. Edge computing and edge devices
2.6. Edge computing: working fashions, buying and deploying and 5G
2.7. Functions and features of edge computing
2.7.1. Privacy and security
2.7.2. Scalability
2.7.3. Reliability
2.7.4. Speed
2.7.5. Efficiency
2.7.6. Latency and bandwidth
2.7.7. Reduction in congestion
2.8. Edge computing: applications and examples
2.8.1. Self-managed and automated cars/vehicles
2.8.2. Fleet management
2.8.3. Predictive maintenance
2.8.4. Voice assisting systems
2.8.5. Smart cities and town planning
2.8.6. Manufacturing and core sector
2.8.7. Healthcare and medical segment
2.8.8. Edge computing and augmented reality
2.9. Drawbacks, obstacles and issues in edge computing
2.10. Edge computing, cloud computing and Internet of Things: some concerns
2.11. Future and emergence of edge computing
2.12. Conclusion
2.13. Acknowledgment
2.14. References
Chapter 3. Utilization of Edge Computing in Digital Education: Conceptual Overview
3.1. Introduction
3.2. Objectives
3.3. Methodology used
3.4. Digital education
3.4.1. Emerging technologies in digital education
3.5. Education and information science
3.6. Edge computing
3.6.1. Edge computing promotes education and information science
3.6.2. Conceptual overview of edge computing in education
3.6.3. Conceptual diagram of edge computing in education
3.6.4. Concept of communication between different layers of edge computing in education
3.6.5. Diagram of communication between different layers of edge computing in education
3.6.6. Stakeholder of edge computing in digital education
3.6.7. Advantages of edge computing in digital education
3.6.8. Challenges of edge computing in digital education
3.7. Conclusion
3.8. Acknowledgment
3.9. References
Chapter 4. Edge Computing with Operations Research Using IoT Devices in Healthcare: Concepts, Tools, Techniques and Use Cases
4.1. Overview
4.2. The smartness of edge across artificial intelligence with the IoT
4.2.1. Operations research in edge computing
4.2.2. Artificial intelligence and its innovative strategy
4.2.3. Machine learning and its potential application
4.2.4. Deep learning and its significance
4.2.5. Generative adversarial network and healthcare records
4.2.6. Natural language processing and its driving factors
4.2.7. Cloud-based intelligent edge computing infrastructure
4.2.8. Handling security and privacy issues
4.3. Promising approaches in edge healthcare system
4.3.1. Software adaptable network
4.3.2. Self-learning healthcare IoT
4.3.3. Towards Big Data in healthcare IoT
4.4. Impact of smartphones on edge computing
4.4.1. Use in clinical practice
4.4.2. Application for healthcare professionals
4.4.3. Edge computing in cutting edge devices
4.4.4. Robust smartphone using deep learning
4.4.5. Smartphone towards healthcare IoT
4.5. Tools, techniques and use cases
4.5.1. Smart self-monitoring healthcare system
4.5.2. Healthcare development tools
4.5.3. Simple use cases
4.6. Significant forthcomings of edge healthcare IoT
4.7. Software and hardware companies developing healthcare tools
4.8. Summary
4.9. References
Chapter 5. Performance Measures in Edge Computing Using the Queuing Model
5.1. Introduction
5.2. Methodology
5.2.1. Queuing theory on edge computing
5.2.2. Result
5.3. Conclusion
5.4. Future scope
5.5. References
Chapter 6. A Smart Payment Transaction Procedure by Smart Edge Computing
6.1. Introduction
6.2. Related works
6.3. Ethereum
6.3.1. Ethereum's four stages of development
6.4. Ethereum's components
6.4.1. P2P network
6.4.2. Consensus rules
6.4.3. Transactions
6.4.4. State machine
6.4.5. Data structures
6.4.6. Consensus algorithm
6.4.7. Economic security
6.4.8. Clients
6.5. General-purpose blockchains to decentralized applications (DApps)
6.6. Ether currency units
6.7. Ethereum wallet
6.7.1. MetaMask
6.7.2. Jaxx
6.7.3. MyEtherWallet (MEW)
6.7.4. Emerald Wallet
6.8. A simple contract: a test Ether faucet
6.9. Ethereum clients
6.9.1. Hardware requirements for a full node
6.9.2. Advantages and disadvantages of full node
6.9.3. The advantages and disadvantages of public testnet
6.10. Conclusion
6.11. References
Chapter 7. Statistical Learning Approach for the Detection of Abnormalities in Cancer Cells for Finding Indication of Metastasis
7.1. Introduction
7.2. Edge computation: a new era
7.3. Impact of edge computation in cancer treatment
7.4. Assessment parameters operational methodologies
7.5. Shape descriptor analysis: statistical approach
7.6. Results and discussion
7.7. Conclusion
7.8. References
Chapter 8. Overcoming the Stigma of Alzheimer's Disease by Means of Natural Language Processing as well as Blockchain Technologies
8.1. Introduction
8.2. Alzheimer's disease
8.3. Alzheimer's disease types
8.4. NLP in chat-bots/AI companions
8.5. Proposed methodologies for reduction of stigma
8.5.1. Proposed methodology using NLP
8.5.2. Model objective function of Alzheimer's disease
8.6. Blockchain technology for securing all medical data
8.6.1. Blockchain strategies for data privacy in healthcare
8.6.2. Application of blockchain technologies
8.6.3. Blockchain application intended for EHR data management
8.6.4. Issues with blockchain security and privacy
8.6.5. Challenges faced by blockchain applications
8.7. Conclusion
8.8. Future scope
8.9. Acknowledgments
8.10. References
Chapter 9. Computer Vision-based Edge Computing System to Detect Health Informatics for Oral Pre-Cancer
9.1. Introduction
9.2. Related works
9.3. Materials and methods
9.3.1. Microscopic imaging
9.3.2. Proposed methodology
9.3.3. RGB color segmentation
9.4. Results
9.5. Conclusion
9.6. References
Chapter 10. A Study of Ultra-lightweight Ciphers and Security Protocol for Edge Computing
10.1. Introduction
10.1.1. Evolution of the IoT
10.1.2. Content of the review work
10.2. Ultra-lightweight ciphers
10.2.1. SLIM
10.2.2. Piccolo
10.2.3. Hummingbird
10.2.4. Comparison between SLIM, Piccolo and Hummingbird ciphers
10.3. Ultra-lightweight security protocols
10.3.1. Lightweight extensible authentication protocol (LEAP)
10.3.2. MIFARE
10.3.3. Remote frame buffer (RFB)
10.3.4. Comparison between LEAP, MIFARE and RFB protocols
10.4. Conclusion
10.5. References
Chapter 11. A Study on Security Protocols, Threats and Probable Solutions for Internet of Things Using Blockchain
11.1. Introduction
11.2. IoT architecture and security challenges
11.3. Security threat classifications
11.3.1. Low-level security threats
11.3.2. Intermediate-level security threats
11.3.3. High-level security threats
11.4. Security solutions for IoT
11.4.1. Low-level security solutions
11.4.2. Intermediate-level security solutions
11.4.3. High-level security solutions
11.5. Blockchain-based IoT paradigm: security and privacy issues
11.5.1. Lack of IoT-centric agreement mechanisms
11.5.2. IoT device incorporation
11.5.3. Software update
11.5.4. Data scalability and organization
11.5.5. Interoperability with the varied IoT devices organized lying on blockchain network
11.5.6. Perception layer
11.5.7. Network layer
11.5.8. Processing layer
11.5.9. Application layer
11.6. IoT Messaging Protocols
11.6.1. Hyper Text Transfer Protocol (HTTP)
11.6.2. Message Queue Telemetry Protocols (MQTT)
11.6.3. Secure MQTT (SMQTT)
11.6.4. Advanced Message Queuing Protocol (AMQP)
11.6.5. Constrained Application Protocol (CoAP)
11.6.6. Extensible Messaging and Presence Protocol (XMPP)
11.6.7. Relative study of different messaging protocols of IoT environments
11.7. Advantages of edge computing
11.8. Conclusion
11.9. References
List of Authors
Index
EULA

Systemvoraussetzungen

Als PDF speichern Als Link merken