ACM Transactions on Computer Systems · 2005 · 173 citations · 46 references
ComputingComputer ScienceComputer SystemsCluster ComputingDatabasesDistributed SystemsCluster MiddlewareConcurrency ControlData ReplicationDistributed ComputingDistributed DatabasesDistributed TransactionsCommunication PrimitivesData Replication ConsistencyData Replication ProtocolsDistributed Middleware ScalabilityDistributed ReplicationDistributed Transaction ProcessingMiddlewareReplica Management
The widespread use of clusters and Web farms has increased the importance of data replication. The article demonstrates how to implement consistent and scalable data replication at the middleware level. The authors combine transactional concurrency control with group communication primitives to implement various replication protocols in the generic middleware Middle‑R, and demonstrate their correctness and feasibility through extensive performance evaluation. The protocols are correct, feasible, and well suited for Web farms and distributed object platforms.
The widespread use of clusters and Web farms has increased the importance of data replication. In this article, we show how to implement consistent and scalable data replication at the middleware level. We do this by combining transactional concurrency control with group communication primitives. The article presents different replication protocols, argues their correctness, describes their implementation as part of a generic middleware, Middle-R, and proves their feasibility with an extensive performance evaluation. The solution proposed is well suited for a variety of applications including Web farms and distributed object platforms.
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The dangers of replication and a solution
Jim Gray, Pat Helland, Patrick O’Neil et al. · 1996 · 1K citations
L.E. Moser, P. M. Melliar‐Smith, D. Agarwal et al. · Communications of the ACM · 1996 · 412 citations · Full text
Mark Hayden · eCommons (Cornell University) · 1998 · 309 citations · Full text