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Distributed Computing to Blockchain. Architecture, Technology, and Applications

  • Book

  • April 2023
  • Elsevier Science and Technology
  • ID: 5709169

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.

Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.

Table of Contents

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

Authors

Rajiv Pandey Amity Institute of Information Technology, Amity University Uttar Pradesh, Lucknow Campus, Lucknow, India.

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.

Sam Goundar Professor, RMIT University, Hanoi, Vietnam.. Dr. Sam Goundar is an international academic, having taught at 12 universities in 10 different countries. He is currently a Professor at RMIT University, Hanoi, Vietnam. Dr. Goundar is the Editor-in-Chief of the International Journal of Blockchains and Cryptocurrencies (IJBC) - Inderscience, Editor-in-Chief of the International Journal of Fog Computing (IJFC) - IGI, Section Editor of the Journal of Education and Information Technologies (EAIT) - Springer, and Editor-in-Chief Emeritus of the International Journal of Cloud Applications and Computing (IJCAC) - IGI. He is also on the Editorial Review Board of more than 20 high impact factor journals. As a researcher, apart from Blockchains, Cryptocurrencies, Fog Computing, Mobile Cloud Computing and Cloud Computing, Dr. Goundar also researches in Educational Technology, MOOCs, Artificial Intelligence, ICT in Climate Change, ICT Devices in the Classroom, Using Mobile Devices in Education, e-Government, and Disaster Management. He is the author of Innovations in the Industrial Internet of Things and Smart Factory forthcoming from IGI Global, Impact of Digital Transformation on Security Policies and Standards from IGI Global, and Architecture and Security Issues in Fog Computing Applications from IGI Global. He has been a Research Fellow with the United Nations University, a Senior Lecturer in IS at The University of the South Pacific, Adjunct Lecturer in IS at Victoria University of Wellington, New Zealand, and an Affiliate Professor of Information Technology at Pontificia Universidad Catolica Del Peru. Shahnaz Fatima Faculty, Amity University Uttar Pradesh, Lucknow, India. 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).