Publication | Closed Access
Using Paxos to build a scalable, consistent, and highly available datastore
148
Citations
25
References
2011
Year
Cluster ComputingEngineeringComputer ArchitectureParallel StorageDatabase ScalabilityTimeline ConsistencyData ConsistencyDistributed DatabaseKeyvalue DatabaseData IntegrationPaxos-based Replication ProtocolAvailable DatastoreParallel ComputingData ManagementPaxos ReplicationData ReplicationStorage VirtualizationCloud ComputingDistributed Data Store
Spinnaker is an experimental datastore that is designed to run on a large cluster of commodity servers in a single datacenter. It features key-based range partitioning, 3-way replication, and a transactional get-put API with the option to choose either strong or timeline consistency on reads. This paper describes Spinnaker's Paxos-based replication protocol. The use of Paxos ensures that a data partition in Spinnaker will be available for reads and writes as long a majority of its replicas are alive. Unlike traditional master-slave replication, this is true regardless of the failure sequence that occurs. We show that Paxos replication can be competitive with alternatives that provide weaker consistency guarantees. Compared to an eventually consistent datastore, we show that Spinnaker can be as fast or even faster on reads and only 5% to 10% slower on writes.
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