E-resources
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Zhixian Niu; Lili Zong; Qingwei Yan; Zhenxing Zhao
2009 Second International Workshop on Knowledge Discovery and Data Mining, 2009-Jan.Conference Proceeding
The type of the workload is one of the key factors on database management system (DBMS) tuning. Different types of workload (OLTP, online transaction processing and OLAP, online analytical processing) mean different resource allocation strategies. In this paper, we present an approach to automatically identify a DBMS workload as either OLTP or OLAP. We use C5.0 algorithm to construct a set of classifiers based on the characteristics that differentiate OLTP and OLAP and then use the classifier to identify the workload type. The experiments show that the classifiers can be able to accurately identify the OLTP and OLAP workloads.
