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* Overview of everything                                                  
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:* Centralized and distributed systems
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:* Bitcoin: a distributed ledger of payments in crypto-currency
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::*Identity
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::*Transaction
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::*Distributed Ledger in Bitcoin Network
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::*Trustless Consensus
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:* Blockchain 2.0 : Beyond cryptocurrencies
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::* Adapting blockchain technologies for the real world
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::* Enterprise blockchain platforms
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::* Selected applications
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::* Limitations
 
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Version du 26 mai 2022 à 22:05


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Puce-didaquest.png Traduction


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Domaine, Discipline, Thématique


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Définition écrite


  • First Blockchain

• Bitcoin is the world’s premier blockchain

• Launched in 2009 by an anonymous person (or a group of persons) known by the name of Satoshi Nakamoto

• Suspiciously around the time of the Subprime crisis

• First successful peer-to-peer electronic cash system

• Bitcoin illustrates how we use blockchain to maintain a history of valid transactions that are tamper-resistant, without any effort from central authority


  • Centralized Systems

• Homogeneous

•Easier to design, operate, and maintain

• Single point of control & authority

• Multiple users share same set of resources

• Single point of failure (- Honest, - Malicious)


  • Distributed Systems

• A group of independent systems (nodes) working together for a purpose

• Connected & communicate to each other via a network

• Each operates concurrently

• Can continue correct operations even if some nodes fail


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Définition graphique




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Puce-didaquest.png Exemples, applications, utilisations

  • Benefits and Challenges

• Performance

• Scalability

• Redundancy (for fault-tolerance)

• How to ensure consistency among nodes of a distributed system?

• Even if some aren’t reliable nor honest?

• Trust without trust?

• Requires a way to reach “consensus”


  • Example: Database Systems

• For a centralized database system, one central entity handles all requests and data processing

• Data updates simple and quick

• Cheaper to manage and maintain

• Performance bottleneck under high concurrent requests

• Single point of failure


  • Distributed Database System

• A group of databases cooperating together to provide single data view to users

• Fault-tolerant

• Handle more concurrent load

• Requires “trust” among nodes (• Not a problem if owned by a single enterprise, • For nodes not fully trusting each other, a “consensus” protocol is required to keep a consistent view of data)


  • Distributed Ledger Technology (DLT)

• A type of distributed database system

• Immutable, append-only database of transactions (for example, exchanges of assets or data)

• Ledgers are replicated, synchronized and shared across all nodes in the distributed, peer-to-peer network

• Nodes reach consensus on transaction updates to its own copy of ledger, thus maintaining consistent ledger state

• Via consensus protocol, this is achievable without central authority or trusted 3rd party mediator


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