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Raft versus Paxos: An Understandable Consensus Algorithm

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Manage episode 487366617 series 3670304
Content provided by The Binary Breakdown. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Binary Breakdown or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Raft, a consensus algorithm designed for managing a replicated log in distributed systems. It aims to be more understandable than Paxos, a widely used but complex alternative, while achieving equivalent efficiency and safety. Raft separates key consensus elements like leader election, log replication, and safety, using techniques such as problem decomposition and state space reduction to enhance clarity. The document describes the algorithm's server states (leader, follower, candidate), time divided into terms, and communication through RPCs for leader election, log replication, and eventually log compaction and client interaction. A user study is presented as evidence of Raft's improved understandability compared to Paxos.

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43 episodes

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Manage episode 487366617 series 3670304
Content provided by The Binary Breakdown. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Binary Breakdown or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Raft, a consensus algorithm designed for managing a replicated log in distributed systems. It aims to be more understandable than Paxos, a widely used but complex alternative, while achieving equivalent efficiency and safety. Raft separates key consensus elements like leader election, log replication, and safety, using techniques such as problem decomposition and state space reduction to enhance clarity. The document describes the algorithm's server states (leader, follower, candidate), time divided into terms, and communication through RPCs for leader election, log replication, and eventually log compaction and client interaction. A user study is presented as evidence of Raft's improved understandability compared to Paxos.

  continue reading

43 episodes

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