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Reports (Research Report) Year : 1999

Improving Data Freshness in Replicated Databases

Esther Pacitti

Abstract

Data replication is often used in distributed database applications to improve data availability and performance. Replicated data must be periodicall- y refreshed using update propagation strategies. Most of the current strategie- s guarantee mutual consistency of replicated data but are inefficient. Lazy (or asynchronous) replication is an alternative, more efficient solution where mutual consistency is relaxed. It is needed in applications such as on-line financial transactions and telecommunication systems which require high freshness of replicated data. In this case, the concept of \it freshness

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Other [cs.OH]
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Dates and versions

inria-00073061 , version 1 (24-05-2006)

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  • HAL Id : inria-00073061 , version 1

Cite

Esther Pacitti. Improving Data Freshness in Replicated Databases. [Research Report] RR-3617, INRIA. 1999. ⟨inria-00073061⟩
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