Zerihun Zewdu

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In this paper a model where an autonomic DBMS can identify and characterize the type of workload acting upon it is developed and the most important database status variables which are highly affected by changing workloads are identified. Two algorithms are selected for database workload classification: hierarchical clustering and classification &(More)
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