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http://dx.doi.org/10.3745/KIPSTD.2004.11D.4.747

Database Workload Analysis : An Empirical Study  

Oh, Jeong-Seok (숭실대학교 대학원 컴퓨터학과)
Lee, Sang-Ho (숭실대학교 컴퓨터학부)
Publication Information
The KIPS Transactions:PartD / v.11D, no.4, 2004 , pp. 747-754 More about this Journal
Abstract
Database administrators should be aware of performance characteristics of database systems in order to manage database system effectively. The usages of system resources in database systems could be quite different under database workloads. The objective of this paper is to identify and analyze performance characteristics of database systems in different workloads, which could help database tuners tune database systems Under the TPC-C and TPC-W workloads, which represent typical workloads of online transaction processing and electronic commerce respectively, we investigated usage types of resource that are determined by fourteen performance indicator, and are behaved in response to changes of four tuning parameters (data buffer, private memory, I/O process, shared memory). Eight out of the fourteen performance indicators cleary show the performance differences under the workloads. Changes of data buffer parameter give a influences to database system. The tuning parameter that affects the system performance significantly is the database buffer size in the both workloads.
Keywords
Database Workload; Performance Indicator; Database Parameter;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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