
Distributed Computing to Blockchain
Architecture, Technology, and Applications
By: Rajiv Pandey (Editor), Sam Goundar (Editor), Shahnaz Fatima (Editor)
eBook | 8 April 2023
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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 such as consensus algorithms, distributed ledgers, DApps, byzantine fault tolerance, distributed databases and operating systems. Sections cover key concepts and technologies such as distributed systems and their architecture, distributed ledger and decentralized web, application and properties of crypto economics, blockchain crypto-analysis for distributed systems followed by DApps architecture. Other sections cover blockchain architecture and security, including smart contracts, tokens, and more.
The authors then review byzantine fault tolerance (BFT), distributed ledgers vs. blockchains, and blockchain protocols. The security issues of blockchain and how it aims to resolve trust problems is also covered, along with consensus algorithms used in blockchain. Throughout the book, the presentation of key concepts is supported by real-world tools, algorithms, programming languages and technology to support the implementation of distributed ledger and blockchain in a variety of fields, including healthcare, finance, legal and business applications.
- Provides readers with in-depth understanding of how to develop blockchain systems, architecture and applications in a variety of fields
- Includes the most complete platform for understanding the computer science and data science behind blockchain and related technologies such as distributed systems, distributed ledgers, consensus algorithms, DApps, distributed ledgers, decentralized web, and more
- Presents techniques for efficient and secure development of blockchains in a variety of domains such as healthcare, finance, legal and business applications
- Provides readers with complete example datasets associated with the methods and algorithms developed in the book
on
ISBN: 9780323961479
ISBN-10: 0323961479
Published: 8th April 2023
Format: ePUB
Language: English
Publisher: Academic Press
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