Fault-Tolerant Partial Replication in Large-Scale Database Systems

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 generate a partial order between mutually conflicting transactions only. 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.

• Type: Conference
• Year: 2008
• Where: EUROPAR
• Authors: Pierre Sutra, Marc Shapiro
• Keywords: Applies Update Values, Decentralised Approach, Distributed And Parallel Computing, EUROPAR 2008, Partial Replication