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Database replication is nothing but copying of data from a Database in one server to a Database in another so that all users share the same level of information. The result is a Distributed Database in which users can access data relevant to their tasks without interfering with the work of others. In this paper, the authors are comparing two advanced replication strategies namely materialized view replication and multi master replication are analyzed based on the Five partitioning algorithms namely range partitioning, hash partitioning, list partitioning, composite range-hash partitioning and composite range-list partitioning have been implemented for both the replication strategies. The performance of all these partitioning algorithms have been evaluated for each of the replication strategies with simulation results.
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