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Materialized view is used in large data centric applications to expeditequery processing. The efficiency of materialized view depends on degree ofresult found against the queries over the existing materialized views.Materialized views are constructed following different methodologies. Thus theefficacy of the materialized views depends on the methodology based on whichthese are formed. Construction of materialized views are often time consumingand moreover after a certain time the performance of the materialized viewsdegrade when the nature of queries change. In this situation either newmaterialized views could be constructed from scratch or the existing viewscould be upgraded. Fresh construction of materialized views has higher timecomplexity hence the modification of the existing views is a bettersolution.Modification process of materialized view is classified undermaterialized view maintenance scheme. Materialized view maintenance is acontinuous process and the system could be tuned to ensure a constant rate ofperformance. If a materialized view construction process is not supported bymaterialized view maintenance scheme that system would suffer from performancedegradation. In this paper a new materialized view maintenance scheme isproposed using markovs analysis to ensure consistent performance. Markovsanalysis is chosen here to predict steady state probability over initialprobability.

Materialized View Replacement using Markovs Analysis