ACM Transactions on Storage · 2008 · 41 citations · 25 references
Cluster ComputingData ConsistencyEngineeringCommercial Internet ServiceFirst PrinciplesConsistency TechnologyCloud ComputingDistributed Data StoreDistributed DatabaseData IntegrationNew Replication ProtocolDistributed SystemsData ManagementFormal VerificationData ReplicationData Security
The task of consistently and reliably replicating data is fundamental in distributed systems, and numerous existing protocols are able to achieve such replication efficiently. When called on to build a large-scale enterprise storage system with built-in replication, we were therefore surprised to discover that no existing protocols met our requirements. As a result, we designed and deployed a new replication protocol called Niobe . Niobe is in the primary-backup family of protocols, and shares many similarities with other protocols in this family. But we believe Niobe is significantly more practical for large-scale enterprise storage than previously published protocols. In particular, Niobe is simple, flexible, has rigorously proven yet simply stated consistency guarantees, and exhibits excellent performance. Niobe has been deployed as the backend for a commercial Internet service; its consistency properties have been proved formally from first principles, and further verified using the TLA + specification language. We describe the protocol itself, the system built to deploy it, and some of our experiences in doing so.
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Sanjay Ghemawat, Howard Gobioff, Shun-Tak A. Leung · ACM SIGOPS Operating Systems Review · 2003 · 5K citations
Leslie Lamport · ACM Transactions on Computer Systems · 1998 · 2.7K citations · Full text
Sanjay Ghemawat, Howard Gobioff, Shun-Tak A. Leung · 2003 · 1.4K citations