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The Paxos Algorithm
Learn about the Paxos algorithm, a distributed consensus protocol that enables nodes to agree on a single value, discussing its roles, message types, and limitations, exploring its applications in distributed systems and variants.
- Paxos algorithm aims to reach a single consensus on a value.
- Some entities will have to change their mind to reach consensus.
- Paxos can reach consensus with exponential backoff.
- Paxos nodes receive proposals in different orders and have to ignore requests with lower IDs.
- Paxos nodes can take multiple roles, including proposer, acceptor, and learner.
- Learners learn the agreed-upon value after consensus is reached.
- Paxos algorithm has three roles: proposer, acceptor, and learner.
- Proposers propose values and send prepare and accept messages.
- Acceptors promise to ignore requests with lower IDs and reply with promise messages.
- Learners receive accept messages and figure out the consensus value.
- Paxos ensures that all nodes agree on the same value.
- Paxos is useful for distributed systems, such as a distributed storage system.
- Paxos has limitations, including potential hotspots and contentious proposals.
- Paxos nodes must know how many acceptors are required for a majority.
- Paxos nodes are responsible for reaching consensus and learning the final value.
- Paxos algorithm is used to reach consensus in a distributed system.
- Distributed systems rely on algorithms to reach consensus, such as Paxos.
- Paxos ensures that changes to an entity are eventually perceived by all nodes.
- Paxos has a family of variants that can deal with different scenarios.
- Paxos is used in a storage system that involves proposals and acceptances.