Distributed Computing to Blockchain

Architecture, Technology, and Applications
Erscheinungsjahr 2023
ISBN: 978-0-323-96146-2
Verlag: William Andrew Publishing

Buch, Englisch, Format (B × H): 216 mm x 276 mm, Gewicht: 1290 g

Distributed Computing to Blockchain: Architecture, Technology, and Applications provides researchers, computer scientists, and data scientists with a comprehensive and applied reference covering the evolution of distributed systems computing into blockchain and associated systems. Divided into three major sections, the book explores the basic topics in the blockchain space extending from distributed systems architecture, distributed ledger, decentralized web to introductory aspects of cryptoeconomics (cryptography and economics) of decentralized applications.

The book further explores advanced concepts such as smart contracts; distributed token mining, initial coin offerings; proof of work; public, private, and other blockchains; cryptography; security; and blockchains. The book goes on to review byzantine fault tolerance, distributed ledgers versus blockchains, and blockchain protocols. The final section covers multiple use cases and applications of distributed computing and the future directions for blockchains.

Autoren/Hrsg.

Pandey, Rajiv

Goundar, Sam

Fatima, Shahnaz

Fachgebiete

• Technische Wissenschaften Verfahrenstechnik | Chemieingenieurwesen | Biotechnologie Biotechnologie
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

Section A - Evolution of distributed system

1. Decentralized web, distributed ledgers, and build up to blockchains

2. Decentralized everything: A practical use of blockchain technology in future applications

3. Distributed computing to blockchain: Architecture, technology, and applications

4. Types of blockchain

5. Blockchain types: A characteristic view

6. DApps: Decentralized applications for blockchains

7. Analyzing information flow in Solidity smart contracts

8. Formal verification and code generation for solidity smart contracts

9. Blockchain consensus algorithms: Past, present, and future trends

10. A systematic study on the development of decentralized application (dApp)

11. AI, IoT, blockchain, and cloud computing: A necessity of the future

12. Functional analysis of blockchain consensus algorithms

Section B - Blockchain architecture and security

13. Blockchain and forensics

14. Cryptography in blockchain

15. Ethereum blockchain platform

16. Hyperledger Fabric blockchain platform

17. An in-depth look at blockchain technology: Architecture and security concerns

18. Blockchain-based IoT security solutions

19. Crypto economics

Section C - Distributed computing

20. Distributed databases, distributed operating systems, and blockchain

21. Demystifying blockchain adoption in financial sector-A critical analysis

22. e-Governance and blockchainbased data supply chain for used cars

23. Emerging trends of blockchain in bioinformatics: A revolution in health care

24. Blockchain's potential to rescue sports: A social media perspective

25. Design and development of a mobile application for level monitoring of oxygen cylinders using block chain technology

26. A futuristic approach to decentralize and authenticate workplace safety records leveraging on blockchain distributed ledger network

27. Designing business models through blockchain: A process of value creation

Über Autor(innen)

Fatima, Shahnaz
Dr. Shahnaz Fatima is a Faculty member in the Institute of Information Technology at Amity University, Lucknow, India. Her research interests are Human Computer Interaction, Data Mining, Deep Mining, Semantic Web, Edge Computing, and IoT. She is involved in supervising Doctorate Research Scholars and Post Graduate Students in the Institute of Information Technology. She is a member of the International Association of Computer Science and Information Technology (IACSIT).

Goundar, Sam
Dr Sam Goundar is an established author, editor, and researcher in artificial intelligence, cyber security, data science, blockchain, digital transformation, and emerging technologies. He has written or edited numerous books on AI, digital innovation, and intelligent systems with leading publishers, reflecting a long-standing focus on the societal and technical dimensions of AI. He has a strong publication record in AI-related domains, including research on explainability, AI-enabled decision making, AI governance, intrusion detection, and applied machine learning. These publications show a sustained and credible research trajectory that directly aligns with the topics covered in this book. Dr. Goundar has published more than 150 peer-reviewed journal articles and book chapters, in addition to more than 20 authored and edited books. He also serves as Editor-in-Chief of multiple international journals and has overseen the review, curation, and publication of research in AI, ethics, digital systems, and technology policy. This long editorial experience ensures high standards of structure, clarity, and coherence across multi-author volumes. Dr. Goundar has taught artificial intelligence, machine learning, and digital ethics at universities across Asia, the Pacific, and Central Asia. His teaching integrates theory with real-world applications, giving him a practical understanding of how AI systems influence learning, governance, public administration, and daily life. This hands-on experience allows him to approach AI not only as a researcher but also as a practitioner who has seen the challenges of AI adoption in different cultural and institutional environments. His international collaborations with research networks, policy groups, and technology-focused organisations further strengthen his authority in areas such as AI governance, responsible innovation, cyber security, and digital transformation. With this combination of technical expertise, editorial leadership, teaching experience, and global perspective, Dr. Goundar is well positioned to lead an edited volume that blends ethical, social, and technical insight to guide societies toward responsible and human-centric AI adoption.

Pandey, Rajiv
Dr. Rajiv Pandey is a Faculty member at Amity Institute of Information Technology, Amity University, Uttar Pradesh, Lucknow Campus, India. He possesses a diverse background experience of around 35 years to include 15 years in industry and 20 years of academic research and instruction. His research interests include blockchain and crypto currencies, information security, semantic web provenance, Cloud computing, Big Data, and Data Analytics. Dr. Pandey is a Senior Member of IEEE and has been a session chair and technical committee member for various IEEE conferences. He has been on the technical committees of various government and private universities, and is the editor of Quantum Computing: A Shift from Bits to Qubits from Springer, Data Modelling and Analytics for the Internet of Medical Things from CRC Press/Taylor & Francis, and Artificial Intelligence and Machine Learning for Edge Computing from AP/Elsevier.