Resource Identification in Database Workloads 


Vol. 13,  No. 2, pp. 183-190, Apr.  2006
10.3745/KIPSTD.2006.13.2.183


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  Abstract

Database workloads may show different resource usages for database applications. Database administrators can enhance the DBMS performances through resource management that reflects workload characteristics. We provide a method that can identify tunable resources from analyzing the relationship between performance indicators and resources. First, we select which performance indicators increase or decrease by expanding resources using a correlation coefficient and a significance level test. Next, we identify resources that can affect the DBMS performances by using increasing or decreasing performance indicators. We evaluated our method in the TPC-C and TPC-W environments.

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[IEEE Style]

J. S. Oh and S. H. Lee, "Resource Identification in Database Workloads," The KIPS Transactions:PartD, vol. 13, no. 2, pp. 183-190, 2006. DOI: 10.3745/KIPSTD.2006.13.2.183.

[ACM Style]

Jeong Seok Oh and Sang Ho Lee. 2006. Resource Identification in Database Workloads. The KIPS Transactions:PartD, 13, 2, (2006), 183-190. DOI: 10.3745/KIPSTD.2006.13.2.183.

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