Concept
The Raft Consensus Algorithm is designed to manage a replicated log across multiple servers, ensuring consistency and fault tolerance in distributed systems. It simplifies the consensus process by breaking it down into leader election, log replication, and safety, making it more understandable than other consensus algorithms like Paxos.
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Concept
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.
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A consensus algorithm is a fundamental component in distributed systems and blockchain networks, ensuring all nodes agree on a single data value or state of the network. It aims to achieve reliability and security in environments where participants may not fully trust each other, enabling decentralized decision-making processes.
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Leader election is a fundamental process in distributed computing systems where nodes in a network select a coordinator or leader to manage tasks or make decisions. It ensures consistency and coordination in environments where multiple nodes need to agree on a single point of control to avoid conflicts and maintain system integrity.
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Fault tolerance is the ability of a system to continue operating properly in the event of the failure of some of its components. It is achieved through redundancy, error detection, and recovery mechanisms, ensuring system reliability and availability despite hardware or software faults.
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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.
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Cluster management involves coordinating and overseeing a group of interconnected computers or servers to work together as a unified system, optimizing their performance, reliability, and scalability. It is crucial for ensuring efficient resource allocation, load balancing, and fault tolerance in distributed computing environments.
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Quorum-based systems are mechanisms used in distributed computing to ensure consistency and coordination among nodes by requiring a minimum number of nodes to agree before an action is taken. These systems are crucial for fault tolerance and maintaining data integrity across distributed networks, especially in scenarios where network partitions or node failures may occur.
Concept
Atomic broadcast is a communication protocol that ensures messages are delivered to all participants in a distributed system in the same order, effectively achieving consensus. It is crucial for maintaining consistency and reliability in distributed databases and systems, where coordination among multiple nodes is required.
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