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Mastering Blockchain

You're reading from   Mastering Blockchain A deep dive into distributed ledgers, consensus protocols, smart contracts, DApps, cryptocurrencies, Ethereum, and more

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Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781839213199
Length 816 pages
Edition 3rd Edition
Languages
Concepts
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Author (1):
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Imran Bashir Imran Bashir
Author Profile Icon Imran Bashir
Imran Bashir
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Toc

Table of Contents (24) Chapters Close

Preface 1. Blockchain 101 2. Decentralization FREE CHAPTER 3. Symmetric Cryptography 4. Public Key Cryptography 5. Consensus Algorithms 6. Introducing Bitcoin 7. The Bitcoin Network and Payments 8. Bitcoin Clients and APIs 9. Alternative Coins 10. Smart Contracts 11. Ethereum 101 12. Further Ethereum 13. Ethereum Development Environment 14. Development Tools and Frameworks 15. Introducing Web3 16. Serenity 17. Hyperledger 18. Tokenization 19. Blockchain – Outside of Currencies 20. Enterprise Blockchain 21. Scalability and Other Challenges 22. Current Landscape and What's Next 23. Index

CAP theorem and blockchain

The CAP theorem, also known as Brewer's theorem, was introduced by Eric Brewer in 1998 as a conjecture. In 2002, it was proven as a theorem by Seth Gilbert and Nancy Lynch. The theorem states that any distributed system cannot have consistency, availability, and partition tolerance simultaneously:

  • Consistency is a property that ensures that all nodes in a distributed system have a single, current, and identical copy of the data.

    Consistency is achieved using consensus algorithms in order to ensure that all nodes have the same copy of the data. This is also called state machine replication. The blockchain is a means for achieving state machine replication.

  • Availability means that the nodes in the system are up, accessible for use, and are accepting incoming requests and responding with data without any failures as and when required. In other words, data is available at each node and the nodes are responding...
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