State Machine Replication is a method used in distributed systems to ensure consistency and fault tolerance by replicating the same state across multiple machines. It relies on consensus algorithms to coordinate updates and maintain a consistent state across replicas, even in the presence of failures.

State Machine Replication

Distributed systems consist of multiple interconnected components that communicate and coordinate their actions by passing messages to achieve a common goal. They offer scalability, fault tolerance, and resource sharing, but also introduce challenges such as network latency, data consistency, and system complexity.

distributed systems

consistency and fault tolerance

replicating the same state

multiple machines

Consensus algorithms are fundamental protocols that enable distributed systems and blockchain networks to agree on a single data value or state, ensuring reliability and security. They prevent faults and malicious activities by requiring a majority agreement among nodes, which is essential for maintaining data integrity and facilitating trustless transactions.

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