Fault-Tolerant Partial Replication in Large-Scale Database Systems - Inria - Institut national de recherche en sciences et technologies du numérique
Rapport (Rapport De Recherche) Année : 2008

Fault-Tolerant Partial Replication in Large-Scale Database Systems

Pierre Sutra
Marc Shapiro

Résumé

We investigate a decentralised approach to committing transactions in a replicated database, under partial replication. Previous protocols either reexecute transactions entirely and/or compute a total order of transactions. In contrast, ours applies update values, and orders only conflicting transactions. It results that transactions execute faster, and distributed databases commit in small committees. Both effects contribute to preserve scalability as the number of databases and transactions increase. Our algorithm ensures serializability, and is live and safe in spite of faults.
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Dates et versions

inria-00232662 , version 1 (01-02-2008)
inria-00232662 , version 2 (04-02-2008)
inria-00232662 , version 3 (04-02-2008)
inria-00232662 , version 4 (31-03-2009)

Identifiants

  • HAL Id : inria-00232662 , version 1
  • ARXIV : 0802.0137

Citer

Pierre Sutra, Marc Shapiro. Fault-Tolerant Partial Replication in Large-Scale Database Systems. [Research Report] 2008, pp.25. ⟨inria-00232662v1⟩
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