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Data Quality Management in a Database Cluster With Lazy Replication

Overview The authors consider the use of a database cluster with lazy replication. In this paper, controlling the quality of replicated data based on users' requirements is important to improve performance. However, existing approaches are limited to a particular aspect of data quality. The authors propose a general model of data quality which makes the difference between "Freshness" and "Validity" of data. Data quality is expressed through divergence measures from the data with perfect quality. Users can thus specify the minimum level of quality for their queries. This information can be exploited to optimize query load balancing.

Further White Paper Details
Publisher	INRIA	File Format	PDF
Date Published	March 2005
Format	White Papers
Topics	N/A

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