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This article explains the principles of Dynamo‑style leaderless replication, strict and loose quorum, version repair, and how Ctrip Hotel applied these concepts in its multi‑media storage systems Hare and InfoKeeper to achieve high availability and performance.
This article explains Dynamo, the decentralized key‑value storage system, covering its design goals, consistent‑hashing partitioning with virtual nodes, replication strategies, quorum‑based consistency, conflict resolution with vector clocks, hinted handoff, Merkle‑tree synchronization, and gossip‑based failure detection.
The article examines the challenges of scaling a single‑server data service, compares data partitioning and replication, explains consistency models, and surveys distributed transaction protocols such as 2PC, 3PC, Paxos, and Dynamo's NWR model, highlighting their trade‑offs in availability, consistency, and performance.